diff --git a/CHANGELOG b/CHANGELOG
index 1c0e2a07..239f533f 100644
--- a/CHANGELOG
+++ b/CHANGELOG
@@ -7,6 +7,26 @@ The format is based on `Keep a Changelog
import WORC.addexceptions as WORCexceptions
import WORC.IOparser.config_WORC as config_io
from WORC.detectors.detectors import DebugDetector
+from WORC.export.hyper_params_exporter import export_hyper_params_to_latex
+from urllib.parse import urlparse
+from urllib.request import url2pathname
[docs]class WORC(object):
@@ -636,7 +639,7 @@ Source code for WORC.WORC
config['HyperOptimization']['test_size'] = '0.2'
config['HyperOptimization']['n_splits'] = '5'
config['HyperOptimization']['N_iterations'] = '1000'
- config['HyperOptimization']['n_jobspercore'] = '500' # only relevant when using fastr in classification
+ config['HyperOptimization']['n_jobspercore'] = '200' # only relevant when using fastr in classification
config['HyperOptimization']['maxlen'] = '100'
config['HyperOptimization']['ranking_score'] = 'test_score'
config['HyperOptimization']['memory'] = '3G'
@@ -1917,6 +1920,12 @@ Source code for WORC.WORC
except graphviz.backend.CalledProcessError as e:
print(f'[WORC WARNING] Graphviz executable gave an error: not drawing network diagram. Original error: {e}')
+ # export hyper param. search space to LaTeX table
+ for config in self.fastrconfigs:
+ config_path = Path(url2pathname(urlparse(config).path))
+ tex_path = f'{config_path.parent.absolute() / config_path.stem}_hyperparams_space.tex'
+ export_hyper_params_to_latex(config_path, tex_path)
+
if DebugDetector().do_detection():
print("Source Data:")
for k in self.source_data.keys():
diff --git a/WORC/doc/_build/html/_modules/WORC/addexceptions.html b/WORC/doc/_build/html/_modules/WORC/addexceptions.html
index 09da74f1..b751c379 100644
--- a/WORC/doc/_build/html/_modules/WORC/addexceptions.html
+++ b/WORC/doc/_build/html/_modules/WORC/addexceptions.html
@@ -8,7 +8,7 @@
- WORC.addexceptions — WORC 3.4.5 documentation
+ WORC.addexceptions — WORC 3.5.0 documentation
@@ -62,7 +62,7 @@
- 3.4.5
+ 3.5.0
diff --git a/WORC/doc/_build/html/_modules/WORC/classification/AdvancedSampler.html b/WORC/doc/_build/html/_modules/WORC/classification/AdvancedSampler.html
index 0327e748..7422e845 100644
--- a/WORC/doc/_build/html/_modules/WORC/classification/AdvancedSampler.html
+++ b/WORC/doc/_build/html/_modules/WORC/classification/AdvancedSampler.html
@@ -8,7 +8,7 @@
- WORC.classification.AdvancedSampler — WORC 3.4.5 documentation
+ WORC.classification.AdvancedSampler — WORC 3.5.0 documentation
@@ -62,7 +62,7 @@
- 3.4.5
+ 3.5.0
diff --git a/WORC/doc/_build/html/_modules/WORC/classification/ObjectSampler.html b/WORC/doc/_build/html/_modules/WORC/classification/ObjectSampler.html
index 9f91cabc..0ba21179 100644
--- a/WORC/doc/_build/html/_modules/WORC/classification/ObjectSampler.html
+++ b/WORC/doc/_build/html/_modules/WORC/classification/ObjectSampler.html
@@ -8,7 +8,7 @@
- WORC.classification.ObjectSampler — WORC 3.4.5 documentation
+ WORC.classification.ObjectSampler — WORC 3.5.0 documentation
@@ -62,7 +62,7 @@
- 3.4.5
+ 3.5.0
diff --git a/WORC/doc/_build/html/_modules/WORC/classification/RankedSVM.html b/WORC/doc/_build/html/_modules/WORC/classification/RankedSVM.html
index 94256185..d6cacddb 100644
--- a/WORC/doc/_build/html/_modules/WORC/classification/RankedSVM.html
+++ b/WORC/doc/_build/html/_modules/WORC/classification/RankedSVM.html
@@ -8,7 +8,7 @@
- WORC.classification.RankedSVM — WORC 3.4.5 documentation
+ WORC.classification.RankedSVM — WORC 3.5.0 documentation
@@ -62,7 +62,7 @@
- 3.4.5
+ 3.5.0
diff --git a/WORC/doc/_build/html/_modules/WORC/classification/SearchCV.html b/WORC/doc/_build/html/_modules/WORC/classification/SearchCV.html
index 779f7125..6702946e 100644
--- a/WORC/doc/_build/html/_modules/WORC/classification/SearchCV.html
+++ b/WORC/doc/_build/html/_modules/WORC/classification/SearchCV.html
@@ -8,7 +8,7 @@
- WORC.classification.SearchCV — WORC 3.4.5 documentation
+ WORC.classification.SearchCV — WORC 3.5.0 documentation
@@ -62,7 +62,7 @@
- 3.4.5
+ 3.5.0
diff --git a/WORC/doc/_build/html/_modules/WORC/classification/construct_classifier.html b/WORC/doc/_build/html/_modules/WORC/classification/construct_classifier.html
index 916e4053..141a37e3 100644
--- a/WORC/doc/_build/html/_modules/WORC/classification/construct_classifier.html
+++ b/WORC/doc/_build/html/_modules/WORC/classification/construct_classifier.html
@@ -8,7 +8,7 @@
- WORC.classification.construct_classifier — WORC 3.4.5 documentation
+ WORC.classification.construct_classifier — WORC 3.5.0 documentation
@@ -62,7 +62,7 @@
- 3.4.5
+ 3.5.0
diff --git a/WORC/doc/_build/html/_modules/WORC/classification/createfixedsplits.html b/WORC/doc/_build/html/_modules/WORC/classification/createfixedsplits.html
index 95fd6354..e0d020d0 100644
--- a/WORC/doc/_build/html/_modules/WORC/classification/createfixedsplits.html
+++ b/WORC/doc/_build/html/_modules/WORC/classification/createfixedsplits.html
@@ -8,7 +8,7 @@
- WORC.classification.createfixedsplits — WORC 3.4.5 documentation
+ WORC.classification.createfixedsplits — WORC 3.5.0 documentation
@@ -62,7 +62,7 @@
- 3.4.5
+ 3.5.0
diff --git a/WORC/doc/_build/html/_modules/WORC/classification/crossval.html b/WORC/doc/_build/html/_modules/WORC/classification/crossval.html
index 77c44f82..5212ca1b 100644
--- a/WORC/doc/_build/html/_modules/WORC/classification/crossval.html
+++ b/WORC/doc/_build/html/_modules/WORC/classification/crossval.html
@@ -8,7 +8,7 @@
- WORC.classification.crossval — WORC 3.4.5 documentation
+ WORC.classification.crossval — WORC 3.5.0 documentation
@@ -62,7 +62,7 @@
- 3.4.5
+ 3.5.0
diff --git a/WORC/doc/_build/html/_modules/WORC/classification/estimators.html b/WORC/doc/_build/html/_modules/WORC/classification/estimators.html
index 526c246c..9f233b4f 100644
--- a/WORC/doc/_build/html/_modules/WORC/classification/estimators.html
+++ b/WORC/doc/_build/html/_modules/WORC/classification/estimators.html
@@ -8,7 +8,7 @@
- WORC.classification.estimators — WORC 3.4.5 documentation
+ WORC.classification.estimators — WORC 3.5.0 documentation
@@ -62,7 +62,7 @@
- 3.4.5
+ 3.5.0
diff --git a/WORC/doc/_build/html/_modules/WORC/classification/fitandscore.html b/WORC/doc/_build/html/_modules/WORC/classification/fitandscore.html
index d1f608f2..6b8a2046 100644
--- a/WORC/doc/_build/html/_modules/WORC/classification/fitandscore.html
+++ b/WORC/doc/_build/html/_modules/WORC/classification/fitandscore.html
@@ -8,7 +8,7 @@
- WORC.classification.fitandscore — WORC 3.4.5 documentation
+ WORC.classification.fitandscore — WORC 3.5.0 documentation
@@ -62,7 +62,7 @@
- 3.4.5
+ 3.5.0
diff --git a/WORC/doc/_build/html/_modules/WORC/classification/metrics.html b/WORC/doc/_build/html/_modules/WORC/classification/metrics.html
index a0413f15..187375f8 100644
--- a/WORC/doc/_build/html/_modules/WORC/classification/metrics.html
+++ b/WORC/doc/_build/html/_modules/WORC/classification/metrics.html
@@ -8,7 +8,7 @@
- WORC.classification.metrics — WORC 3.4.5 documentation
+ WORC.classification.metrics — WORC 3.5.0 documentation
@@ -62,7 +62,7 @@
- 3.4.5
+ 3.5.0
diff --git a/WORC/doc/_build/html/_modules/WORC/classification/parameter_optimization.html b/WORC/doc/_build/html/_modules/WORC/classification/parameter_optimization.html
index 97a1f176..7ca0ce99 100644
--- a/WORC/doc/_build/html/_modules/WORC/classification/parameter_optimization.html
+++ b/WORC/doc/_build/html/_modules/WORC/classification/parameter_optimization.html
@@ -8,7 +8,7 @@
- WORC.classification.parameter_optimization — WORC 3.4.5 documentation
+ WORC.classification.parameter_optimization — WORC 3.5.0 documentation
@@ -62,7 +62,7 @@
- 3.4.5
+ 3.5.0
diff --git a/WORC/doc/_build/html/_modules/WORC/classification/trainclassifier.html b/WORC/doc/_build/html/_modules/WORC/classification/trainclassifier.html
index 04758345..9942bfa6 100644
--- a/WORC/doc/_build/html/_modules/WORC/classification/trainclassifier.html
+++ b/WORC/doc/_build/html/_modules/WORC/classification/trainclassifier.html
@@ -8,7 +8,7 @@
- WORC.classification.trainclassifier — WORC 3.4.5 documentation
+ WORC.classification.trainclassifier — WORC 3.5.0 documentation
@@ -62,7 +62,7 @@
- 3.4.5
+ 3.5.0
diff --git a/WORC/doc/_build/html/_modules/WORC/detectors/detectors.html b/WORC/doc/_build/html/_modules/WORC/detectors/detectors.html
index 9f5031a2..e1f7f1e6 100644
--- a/WORC/doc/_build/html/_modules/WORC/detectors/detectors.html
+++ b/WORC/doc/_build/html/_modules/WORC/detectors/detectors.html
@@ -8,7 +8,7 @@
- WORC.detectors.detectors — WORC 3.4.5 documentation
+ WORC.detectors.detectors — WORC 3.5.0 documentation
@@ -62,7 +62,7 @@
- 3.4.5
+ 3.5.0
diff --git a/WORC/doc/_build/html/_modules/WORC/exampledata/datadownloader.html b/WORC/doc/_build/html/_modules/WORC/exampledata/datadownloader.html
index 2e43ffc5..58bb52ed 100644
--- a/WORC/doc/_build/html/_modules/WORC/exampledata/datadownloader.html
+++ b/WORC/doc/_build/html/_modules/WORC/exampledata/datadownloader.html
@@ -8,7 +8,7 @@
- WORC.exampledata.datadownloader — WORC 3.4.5 documentation
+ WORC.exampledata.datadownloader — WORC 3.5.0 documentation
@@ -62,7 +62,7 @@
- 3.4.5
+ 3.5.0
diff --git a/WORC/doc/_build/html/_modules/WORC/featureprocessing/Imputer.html b/WORC/doc/_build/html/_modules/WORC/featureprocessing/Imputer.html
index 857090b7..79e9df03 100644
--- a/WORC/doc/_build/html/_modules/WORC/featureprocessing/Imputer.html
+++ b/WORC/doc/_build/html/_modules/WORC/featureprocessing/Imputer.html
@@ -8,7 +8,7 @@
- WORC.featureprocessing.Imputer — WORC 3.4.5 documentation
+ WORC.featureprocessing.Imputer — WORC 3.5.0 documentation
@@ -62,7 +62,7 @@
- 3.4.5
+ 3.5.0
diff --git a/WORC/doc/_build/html/_modules/WORC/featureprocessing/Relief.html b/WORC/doc/_build/html/_modules/WORC/featureprocessing/Relief.html
index a1445ff1..474d322b 100644
--- a/WORC/doc/_build/html/_modules/WORC/featureprocessing/Relief.html
+++ b/WORC/doc/_build/html/_modules/WORC/featureprocessing/Relief.html
@@ -8,7 +8,7 @@
- WORC.featureprocessing.Relief — WORC 3.4.5 documentation
+ WORC.featureprocessing.Relief — WORC 3.5.0 documentation
@@ -62,7 +62,7 @@
- 3.4.5
+ 3.5.0
diff --git a/WORC/doc/_build/html/_modules/WORC/featureprocessing/SelectGroups.html b/WORC/doc/_build/html/_modules/WORC/featureprocessing/SelectGroups.html
index 65f27892..21fd4d03 100644
--- a/WORC/doc/_build/html/_modules/WORC/featureprocessing/SelectGroups.html
+++ b/WORC/doc/_build/html/_modules/WORC/featureprocessing/SelectGroups.html
@@ -8,7 +8,7 @@
- WORC.featureprocessing.SelectGroups — WORC 3.4.5 documentation
+ WORC.featureprocessing.SelectGroups — WORC 3.5.0 documentation
@@ -62,7 +62,7 @@
- 3.4.5
+ 3.5.0
diff --git a/WORC/doc/_build/html/_modules/WORC/featureprocessing/SelectIndividuals.html b/WORC/doc/_build/html/_modules/WORC/featureprocessing/SelectIndividuals.html
index 5e8d703b..aa873206 100644
--- a/WORC/doc/_build/html/_modules/WORC/featureprocessing/SelectIndividuals.html
+++ b/WORC/doc/_build/html/_modules/WORC/featureprocessing/SelectIndividuals.html
@@ -8,7 +8,7 @@
- WORC.featureprocessing.SelectIndividuals — WORC 3.4.5 documentation
+ WORC.featureprocessing.SelectIndividuals — WORC 3.5.0 documentation
@@ -62,7 +62,7 @@
- 3.4.5
+ 3.5.0
diff --git a/WORC/doc/_build/html/_modules/WORC/featureprocessing/StatisticalTestFeatures.html b/WORC/doc/_build/html/_modules/WORC/featureprocessing/StatisticalTestFeatures.html
index cbdfcc36..a5797ff2 100644
--- a/WORC/doc/_build/html/_modules/WORC/featureprocessing/StatisticalTestFeatures.html
+++ b/WORC/doc/_build/html/_modules/WORC/featureprocessing/StatisticalTestFeatures.html
@@ -8,7 +8,7 @@
- WORC.featureprocessing.StatisticalTestFeatures — WORC 3.4.5 documentation
+ WORC.featureprocessing.StatisticalTestFeatures — WORC 3.5.0 documentation
@@ -62,7 +62,7 @@
- 3.4.5
+ 3.5.0
diff --git a/WORC/doc/_build/html/_modules/WORC/featureprocessing/StatisticalTestThreshold.html b/WORC/doc/_build/html/_modules/WORC/featureprocessing/StatisticalTestThreshold.html
index 2e5c735a..2be7d257 100644
--- a/WORC/doc/_build/html/_modules/WORC/featureprocessing/StatisticalTestThreshold.html
+++ b/WORC/doc/_build/html/_modules/WORC/featureprocessing/StatisticalTestThreshold.html
@@ -8,7 +8,7 @@
- WORC.featureprocessing.StatisticalTestThreshold — WORC 3.4.5 documentation
+ WORC.featureprocessing.StatisticalTestThreshold — WORC 3.5.0 documentation
@@ -62,7 +62,7 @@
- 3.4.5
+ 3.5.0
diff --git a/WORC/doc/_build/html/_modules/WORC/featureprocessing/VarianceThreshold.html b/WORC/doc/_build/html/_modules/WORC/featureprocessing/VarianceThreshold.html
index a2132204..133a13ef 100644
--- a/WORC/doc/_build/html/_modules/WORC/featureprocessing/VarianceThreshold.html
+++ b/WORC/doc/_build/html/_modules/WORC/featureprocessing/VarianceThreshold.html
@@ -8,7 +8,7 @@
- WORC.featureprocessing.VarianceThreshold — WORC 3.4.5 documentation
+ WORC.featureprocessing.VarianceThreshold — WORC 3.5.0 documentation
@@ -62,7 +62,7 @@
- 3.4.5
+ 3.5.0
diff --git a/WORC/doc/_build/html/_modules/WORC/plotting/compute_CI.html b/WORC/doc/_build/html/_modules/WORC/plotting/compute_CI.html
index d13676d7..22dbb49e 100644
--- a/WORC/doc/_build/html/_modules/WORC/plotting/compute_CI.html
+++ b/WORC/doc/_build/html/_modules/WORC/plotting/compute_CI.html
@@ -8,7 +8,7 @@
- WORC.plotting.compute_CI — WORC 3.4.5 documentation
+ WORC.plotting.compute_CI — WORC 3.5.0 documentation
@@ -62,7 +62,7 @@
- 3.4.5
+ 3.5.0
diff --git a/WORC/doc/_build/html/_modules/WORC/plotting/linstretch.html b/WORC/doc/_build/html/_modules/WORC/plotting/linstretch.html
index 8ce23965..68675c31 100644
--- a/WORC/doc/_build/html/_modules/WORC/plotting/linstretch.html
+++ b/WORC/doc/_build/html/_modules/WORC/plotting/linstretch.html
@@ -8,7 +8,7 @@
- WORC.plotting.linstretch — WORC 3.4.5 documentation
+ WORC.plotting.linstretch — WORC 3.5.0 documentation
@@ -62,7 +62,7 @@
- 3.4.5
+ 3.5.0
diff --git a/WORC/doc/_build/html/_modules/WORC/plotting/plot_ROC.html b/WORC/doc/_build/html/_modules/WORC/plotting/plot_ROC.html
index fe730fa8..fa6d0c04 100644
--- a/WORC/doc/_build/html/_modules/WORC/plotting/plot_ROC.html
+++ b/WORC/doc/_build/html/_modules/WORC/plotting/plot_ROC.html
@@ -8,7 +8,7 @@
- WORC.plotting.plot_ROC — WORC 3.4.5 documentation
+ WORC.plotting.plot_ROC — WORC 3.5.0 documentation
@@ -62,7 +62,7 @@
- 3.4.5
+ 3.5.0
diff --git a/WORC/doc/_build/html/_modules/WORC/plotting/plot_barchart.html b/WORC/doc/_build/html/_modules/WORC/plotting/plot_barchart.html
index 7a889843..525984b0 100644
--- a/WORC/doc/_build/html/_modules/WORC/plotting/plot_barchart.html
+++ b/WORC/doc/_build/html/_modules/WORC/plotting/plot_barchart.html
@@ -8,7 +8,7 @@
- WORC.plotting.plot_barchart — WORC 3.4.5 documentation
+ WORC.plotting.plot_barchart — WORC 3.5.0 documentation
@@ -62,7 +62,7 @@
- 3.4.5
+ 3.5.0
diff --git a/WORC/doc/_build/html/_modules/WORC/plotting/plot_images.html b/WORC/doc/_build/html/_modules/WORC/plotting/plot_images.html
index 26730e4f..426ad077 100644
--- a/WORC/doc/_build/html/_modules/WORC/plotting/plot_images.html
+++ b/WORC/doc/_build/html/_modules/WORC/plotting/plot_images.html
@@ -8,7 +8,7 @@
- WORC.plotting.plot_images — WORC 3.4.5 documentation
+ WORC.plotting.plot_images — WORC 3.5.0 documentation
@@ -62,7 +62,7 @@
- 3.4.5
+ 3.5.0
@@ -218,21 +218,29 @@ Source code for WORC.plotting.plot_images
[docs]def slicer(image, mask=None, output_name=None, output_name_zoom=None,
thresholds=[-240, 160], zoomfactor=4, dpi=500, normalize=False,
expand=False, boundary=False, square=False, flip=True, rot90=0,
- alpha=0.40, axis='axial', index=None, color='cyan'):
+ alpha=0.40, axis='axial', index=None, color='cyan', radius=2):
"""Plot slice of image where mask is largest, with mask as overlay.
image and mask should both be arrays
"""
# Determine figure size by spacing
- spacing = [float(image.GetSpacing()[0]), float(image.GetSpacing()[1]), float(image.GetSpacing()[2])]
- imsize = [float(image.GetSize()[0]), float(image.GetSize()[1]), float(image.GetSize()[2])]
-
- if axis == 'axial':
+ if len(image.GetSize()) == 2:
+ # 2D Image
+ spacing = [float(image.GetSpacing()[0]), float(image.GetSpacing()[1])]
+ imsize = [float(image.GetSize()[0]), float(image.GetSize()[1])]
figsize = (imsize[0]*spacing[0]/100.0, imsize[1]*spacing[1]/100.0)
- elif axis == 'coronal':
- figsize = (imsize[0]*spacing[0]/100.0, imsize[2]*spacing[2]/100.0)
- elif axis == 'transversal':
- figsize = (imsize[1]*spacing[1]/100.0, imsize[2]*spacing[2]/100.0)
+ else:
+ # 3D Image
+ # Determine figure size by spacing
+ spacing = [float(image.GetSpacing()[0]), float(image.GetSpacing()[1]), float(image.GetSpacing()[2])]
+ imsize = [float(image.GetSize()[0]), float(image.GetSize()[1]), float(image.GetSize()[2])]
+
+ if axis == 'axial':
+ figsize = (imsize[0]*spacing[0]/100.0, imsize[1]*spacing[1]/100.0)
+ elif axis == 'coronal':
+ figsize = (imsize[0]*spacing[0]/100.0, imsize[2]*spacing[2]/100.0)
+ elif axis == 'transversal':
+ figsize = (imsize[1]*spacing[1]/100.0, imsize[2]*spacing[2]/100.0)
# Convert images to numpy arrays
image = sitk.GetArrayFromImage(image)
@@ -299,7 +307,7 @@ Source code for WORC.plotting.plot_images
if mask is not None:
if boundary:
print('\t Extracting boundary.')
- maskslice = extract_boundary(maskslice)
+ maskslice = extract_boundary(maskslice, radius)
if normalize:
print('\t Normalizing.')
diff --git a/WORC/doc/_build/html/_modules/WORC/plotting/plot_ranked_scores.html b/WORC/doc/_build/html/_modules/WORC/plotting/plot_ranked_scores.html
index 52a89a53..5975ad66 100644
--- a/WORC/doc/_build/html/_modules/WORC/plotting/plot_ranked_scores.html
+++ b/WORC/doc/_build/html/_modules/WORC/plotting/plot_ranked_scores.html
@@ -8,7 +8,7 @@
- WORC.plotting.plot_ranked_scores — WORC 3.4.5 documentation
+ WORC.plotting.plot_ranked_scores — WORC 3.5.0 documentation
@@ -62,7 +62,7 @@
- 3.4.5
+ 3.5.0
diff --git a/WORC/doc/_build/html/_modules/WORC/plotting/scatterplot.html b/WORC/doc/_build/html/_modules/WORC/plotting/scatterplot.html
index 176f7231..1548d97c 100644
--- a/WORC/doc/_build/html/_modules/WORC/plotting/scatterplot.html
+++ b/WORC/doc/_build/html/_modules/WORC/plotting/scatterplot.html
@@ -8,7 +8,7 @@
- WORC.plotting.scatterplot — WORC 3.4.5 documentation
+ WORC.plotting.scatterplot — WORC 3.5.0 documentation
@@ -62,7 +62,7 @@
- 3.4.5
+ 3.5.0
diff --git a/WORC/doc/_build/html/_modules/WORC/processing/ExtractNLargestBlobsn.html b/WORC/doc/_build/html/_modules/WORC/processing/ExtractNLargestBlobsn.html
index 41e8083d..8e42e888 100644
--- a/WORC/doc/_build/html/_modules/WORC/processing/ExtractNLargestBlobsn.html
+++ b/WORC/doc/_build/html/_modules/WORC/processing/ExtractNLargestBlobsn.html
@@ -8,7 +8,7 @@
- WORC.processing.ExtractNLargestBlobsn — WORC 3.4.5 documentation
+ WORC.processing.ExtractNLargestBlobsn — WORC 3.5.0 documentation
@@ -62,7 +62,7 @@
- 3.4.5
+ 3.5.0
diff --git a/WORC/doc/_build/html/_modules/WORC/processing/classes.html b/WORC/doc/_build/html/_modules/WORC/processing/classes.html
index 5b9b3783..d0ab7331 100644
--- a/WORC/doc/_build/html/_modules/WORC/processing/classes.html
+++ b/WORC/doc/_build/html/_modules/WORC/processing/classes.html
@@ -8,7 +8,7 @@
- WORC.processing.classes — WORC 3.4.5 documentation
+ WORC.processing.classes — WORC 3.5.0 documentation
@@ -62,7 +62,7 @@
- 3.4.5
+ 3.5.0
diff --git a/WORC/doc/_build/html/_modules/WORC/processing/label_processing.html b/WORC/doc/_build/html/_modules/WORC/processing/label_processing.html
index 74bb27d4..b18156c8 100644
--- a/WORC/doc/_build/html/_modules/WORC/processing/label_processing.html
+++ b/WORC/doc/_build/html/_modules/WORC/processing/label_processing.html
@@ -8,7 +8,7 @@
- WORC.processing.label_processing — WORC 3.4.5 documentation
+ WORC.processing.label_processing — WORC 3.5.0 documentation
@@ -62,7 +62,7 @@
- 3.4.5
+ 3.5.0
diff --git a/WORC/doc/_build/html/_modules/WORC/resources/fastr_tests/CalcFeatures_test.html b/WORC/doc/_build/html/_modules/WORC/resources/fastr_tests/CalcFeatures_test.html
index 0bc9fdb4..c622b99b 100644
--- a/WORC/doc/_build/html/_modules/WORC/resources/fastr_tests/CalcFeatures_test.html
+++ b/WORC/doc/_build/html/_modules/WORC/resources/fastr_tests/CalcFeatures_test.html
@@ -8,7 +8,7 @@
- WORC.resources.fastr_tests.CalcFeatures_test — WORC 3.4.5 documentation
+ WORC.resources.fastr_tests.CalcFeatures_test — WORC 3.5.0 documentation
@@ -62,7 +62,7 @@
- 3.4.5
+ 3.5.0
diff --git a/WORC/doc/_build/html/_modules/WORC/resources/fastr_tests/elastix_test.html b/WORC/doc/_build/html/_modules/WORC/resources/fastr_tests/elastix_test.html
index 2c5e2be0..b7cf49e8 100644
--- a/WORC/doc/_build/html/_modules/WORC/resources/fastr_tests/elastix_test.html
+++ b/WORC/doc/_build/html/_modules/WORC/resources/fastr_tests/elastix_test.html
@@ -8,7 +8,7 @@
- WORC.resources.fastr_tests.elastix_test — WORC 3.4.5 documentation
+ WORC.resources.fastr_tests.elastix_test — WORC 3.5.0 documentation
@@ -62,7 +62,7 @@
- 3.4.5
+ 3.5.0
diff --git a/WORC/doc/_build/html/_modules/WORC/resources/fastr_tests/segmentix_test.html b/WORC/doc/_build/html/_modules/WORC/resources/fastr_tests/segmentix_test.html
index 07b538ac..ab190e36 100644
--- a/WORC/doc/_build/html/_modules/WORC/resources/fastr_tests/segmentix_test.html
+++ b/WORC/doc/_build/html/_modules/WORC/resources/fastr_tests/segmentix_test.html
@@ -8,7 +8,7 @@
- WORC.resources.fastr_tests.segmentix_test — WORC 3.4.5 documentation
+ WORC.resources.fastr_tests.segmentix_test — WORC 3.5.0 documentation
@@ -62,7 +62,7 @@
- 3.4.5
+ 3.5.0
diff --git a/WORC/doc/_build/html/_modules/WORC/tools/Elastix.html b/WORC/doc/_build/html/_modules/WORC/tools/Elastix.html
index b2ab73a7..8edc4f5e 100644
--- a/WORC/doc/_build/html/_modules/WORC/tools/Elastix.html
+++ b/WORC/doc/_build/html/_modules/WORC/tools/Elastix.html
@@ -8,7 +8,7 @@
- WORC.tools.Elastix — WORC 3.4.5 documentation
+ WORC.tools.Elastix — WORC 3.5.0 documentation
@@ -62,7 +62,7 @@
- 3.4.5
+ 3.5.0
diff --git a/WORC/doc/_build/html/_modules/WORC/tools/Evaluate.html b/WORC/doc/_build/html/_modules/WORC/tools/Evaluate.html
index 36bbf99d..f69b4016 100644
--- a/WORC/doc/_build/html/_modules/WORC/tools/Evaluate.html
+++ b/WORC/doc/_build/html/_modules/WORC/tools/Evaluate.html
@@ -8,7 +8,7 @@
- WORC.tools.Evaluate — WORC 3.4.5 documentation
+ WORC.tools.Evaluate — WORC 3.5.0 documentation
@@ -62,7 +62,7 @@
- 3.4.5
+ 3.5.0
@@ -594,8 +594,8 @@ Source code for WORC.tools.Evaluate
self.links_STest_Features[name] =\
self.network.create_link(self.parent.ComBat.outputs['features_train_out'], self.node_STest.inputs['features'])
- self.links_decomposition_Features[name] =\
- self.network.create_link(self.parent.ComBat.outputs['features_train_out'], self.node_decomposition.inputs['features'])
+ self.links_decomposition_Features[name] =\
+ self.network.create_link(self.parent.ComBat.outputs['features_train_out'], self.node_decomposition.inputs['features'])
self.links_Boxplots_Features[name] =\
self.network.create_link(self.parent.ComBat.outputs['features_train_out'], self.node_Boxplots_Features.inputs['features'])
@@ -603,8 +603,8 @@ Source code for WORC.tools.Evaluate
# All features should be input at once
if 'classification' in self.modus:
self.links_STest_Features[name].collapse = 'ComBat'
+ self.links_decomposition_Features[name].collapse = 'ComBat'
- self.links_decomposition_Features[name].collapse = 'ComBat'
self.links_Boxplots_Features[name].collapse = 'ComBat'
else:
@@ -619,8 +619,8 @@ Source code for WORC.tools.Evaluate
self.links_STest_Features[name] =\
self.node_STest.inputs['features'][name] << node.outputs['feat_out']
- self.links_decomposition_Features[name] =\
- self.node_decomposition.inputs['features'][name] << node.outputs['feat_out']
+ self.links_decomposition_Features[name] =\
+ self.node_decomposition.inputs['features'][name] << node.outputs['feat_out']
self.links_Boxplots_Features[name] =\
self.node_Boxplots_Features.inputs['features'][name] << node.outputs['feat_out']
@@ -628,8 +628,8 @@ Source code for WORC.tools.Evaluate
# All features should be input at once
if 'classification' in self.modus:
self.links_STest_Features[name].collapse = 'train'
+ self.links_decomposition_Features[name].collapse = 'train'
- self.links_decomposition_Features[name].collapse = 'train'
self.links_Boxplots_Features[name].collapse = 'train'
else:
# Feature are precomputed and given as sources
@@ -639,16 +639,17 @@ Source code for WORC.tools.Evaluate
self.links_STest_Features[name] =\
self.node_STest.inputs['features'][name] << node.output
- self.links_decomposition_Features[name] =\
- self.node_decomposition.inputs['features'][name] << node.output
+ self.links_decomposition_Features[name] =\
+ self.node_decomposition.inputs['features'][name] << node.output
+
self.links_Boxplots_Features[name] =\
self.node_Boxplots_Features.inputs['features'][name] << node.output
# All features should be input at once
if 'classification' in self.modus:
self.links_STest_Features[name].collapse = 'train'
+ self.links_decomposition_Features[name].collapse = 'train'
- self.links_decomposition_Features[name].collapse = 'train'
self.links_Boxplots_Features[name].collapse = 'train'
else:
diff --git a/WORC/doc/_build/html/_modules/WORC/tools/Slicer.html b/WORC/doc/_build/html/_modules/WORC/tools/Slicer.html
index 440871e0..6ba8c334 100644
--- a/WORC/doc/_build/html/_modules/WORC/tools/Slicer.html
+++ b/WORC/doc/_build/html/_modules/WORC/tools/Slicer.html
@@ -8,7 +8,7 @@
- WORC.tools.Slicer — WORC 3.4.5 documentation
+ WORC.tools.Slicer — WORC 3.5.0 documentation
@@ -62,7 +62,7 @@
- 3.4.5
+ 3.5.0
diff --git a/WORC/doc/_build/html/_modules/WORC/tools/Transformix.html b/WORC/doc/_build/html/_modules/WORC/tools/Transformix.html
index 1a6242f8..de97124c 100644
--- a/WORC/doc/_build/html/_modules/WORC/tools/Transformix.html
+++ b/WORC/doc/_build/html/_modules/WORC/tools/Transformix.html
@@ -8,7 +8,7 @@
- WORC.tools.Transformix — WORC 3.4.5 documentation
+ WORC.tools.Transformix — WORC 3.5.0 documentation
@@ -62,7 +62,7 @@
- 3.4.5
+ 3.5.0
diff --git a/WORC/doc/_build/html/_modules/WORC/tools/createfixedsplits.html b/WORC/doc/_build/html/_modules/WORC/tools/createfixedsplits.html
index 01945e09..ad86b30a 100644
--- a/WORC/doc/_build/html/_modules/WORC/tools/createfixedsplits.html
+++ b/WORC/doc/_build/html/_modules/WORC/tools/createfixedsplits.html
@@ -8,7 +8,7 @@
- WORC.tools.createfixedsplits — WORC 3.4.5 documentation
+ WORC.tools.createfixedsplits — WORC 3.5.0 documentation
@@ -62,7 +62,7 @@
- 3.4.5
+ 3.5.0
diff --git a/WORC/doc/_build/html/_modules/index.html b/WORC/doc/_build/html/_modules/index.html
index 4090ef76..b928ae95 100644
--- a/WORC/doc/_build/html/_modules/index.html
+++ b/WORC/doc/_build/html/_modules/index.html
@@ -8,7 +8,7 @@
- Overview: module code — WORC 3.4.5 documentation
+ Overview: module code — WORC 3.5.0 documentation
@@ -62,7 +62,7 @@
- 3.4.5
+ 3.5.0
@@ -185,6 +185,7 @@ All modules for which code is available
WORC.detectors.detectors
WORC.exampledata.create_example_data
WORC.exampledata.datadownloader
+WORC.export.hyper_params_exporter
WORC.facade.basicworc
WORC.facade.helpers.configbuilder
WORC.facade.helpers.exceptions
diff --git a/WORC/doc/_build/html/_sources/autogen/WORC.rst.txt b/WORC/doc/_build/html/_sources/autogen/WORC.rst.txt
index 53de38f4..6872a9c8 100644
--- a/WORC/doc/_build/html/_sources/autogen/WORC.rst.txt
+++ b/WORC/doc/_build/html/_sources/autogen/WORC.rst.txt
@@ -37,6 +37,7 @@ Subpackages
WORC.classification
WORC.detectors
WORC.exampledata
+ WORC.export
WORC.facade
WORC.fastrconfig
WORC.featureprocessing
diff --git a/WORC/doc/_build/html/_sources/index.rst.txt b/WORC/doc/_build/html/_sources/index.rst.txt
index 2870f00d..77ec657c 100644
--- a/WORC/doc/_build/html/_sources/index.rst.txt
+++ b/WORC/doc/_build/html/_sources/index.rst.txt
@@ -12,7 +12,9 @@ a radiomics study is effectively reduced to a black box with a push button, wher
your data and WORC will adapt the workflow to your application. Thus, WORC is especially suitable
for the fast development of signatures and probing datasets for new biomarkers.
-.. note:: Despite the name, besides classification, WORC can actually also be used for regression and multilabel classification. Survival is WIP.
+.. note:: Despite the name, besides classification, WORC can actually also be
+ used for regression and multilabel classification. See for more details the
+ :ref:`additonalfunctionality-chapter` chapter.
We aim to establish a general radiomics platform supporting easy
integration of other tools. With our modular build and support of
@@ -37,7 +39,8 @@ For more information regarding radiomics, we recommend the following book chapte
`M. P. A. Starmans, S. R. van der Voort, J. M. Castillo T., J. F. Veenland, S. Klein, W. J. Niessen. "Radiomics: Data mining using quantitative medical image features" Handbook of Medical Image Computing and Computer Assisted Intervention (MICCAI) 2020 `_
-The article on WORC is currently in preparation. WORC has been presented at the following conferences:
+The article on WORC is currently in preparation. WORC among others has been
+presented at the following conferences:
`M. P. A. Starmans. "Multicentre studies for more robust radiomics signatures." European Congress of Radiology (ECR) 2021: E³ 422 - Radiomics: principles and applications. `_
@@ -45,6 +48,10 @@ The article on WORC is currently in preparation. WORC has been presented at the
`M. P. A. Starmans, S. R. van der Voort, M. Vos, F. Incekara, J. J. Visser, M. Smits, M. G. Thomeer, W. J. Niessen and S. Klein. "Fully automatic construction of optimal radiomics workflows." European Congress of Radiology (ECR) 2019. `_
+ `M. P. A. Starmans, R. Miclea, S. R. van der Voort, W. J. Niessen, S. Klein and M. G. Thomeer. "Classification of malignant and benign liver tumours using a radiomics approach." European Congress of Radiology (ECR) 2019. `_
+
+ `M. P. A. Starmans, A. Blazevic, S. R. van der Voort, T. Brabander, J. Hofland, W. J. Niessen, W. W. de Herder and S. Klein. "Prediction of surgery requirement in mesenteric fibrosis on CT using a radiomics approach." European Congress of Radiology (ECR) 2019. `_
+
`M. P. A. Starmans, S. R. van der Voort, R. L. Miclea, M. Vos, F. Incekara, M. J. M. Timbergen, M. M. J. Wijnenga, G. A. Padmos, G. H. J. van Leenders, G. Kapsas, M. J. van den Bent, A. J.P.E. Vincent, D. J. Grünhagen, C. Verhoef, S. Sleijfer, J. J. Visser, M. Smits, M. G. Thomeer, W. J. Niessen, S. Klein. "Harmonizing radiomics among applications through adaptive workflow optimization." European Society of Medical Imaging Informatics (EuSoMII) Annual Meeting 2019. `_
WORC has among others been used in the following studies:
@@ -57,38 +64,14 @@ WORC has among others been used in the following studies:
`M. J. M. Timbergen, M. P. A. Starmans, M. Vos, G. A. Padmos, D. J. Grünhagen, G. J. L. H. van Leenders, D. Hanff, C. Verhoef, W. J. Niessen, S. Sleijfer, S. Klein, J. J. Visser. "Differential diagnosis and mutation stratification of desmoid-type fibromatosis on MRI using radiomics." European Journal of Radiology 2020 `_
- `M. P. A. Starmans, C. J. Els, F. Fiduzi, W. J. Niessen, S.Klein, R. S. Dwarkasing. "Radiomics model to predict hepatocellular carcinoma on liver MRI of high-risk patients in surveillance: a proof-of-concept study." European Congress of Radiology (ECR) 2020 `_
-
- `M. P. A. Starmans, M. Vos, M. J. M. Timbergen, S. R. van der Voort, D. J. Grünhagen, S. Sleijfer, C. Verhoef, J.J. Visser, S.Klein. "Distinguishing well-differentiated liposarcomas from lipomas on MR images using a radiomics approach." European Congress of Radiology (ECR) 2020 `_
-
- `M. P. A. Starmans, M. J. M. Timbergen, G. A. Padmos, D. J. Grünhagen, G. J. van Leenders, D. Hanff, S. Sleijfer, J.J. Visser, S.Klein. "Distinguishing desmoid-type fibromatosis from soft tissue sarcoma on MRI using a radiomics approach." European Congress of Radiology (ECR) 2020 `_
-
- `M. P. A. Starmans, M. J. M. Timbergen, M. Renckens, D. J. Grünhagen, G. J. van Leenders, S. Sleijfer, J.J. Visser, S.Klein. "Differential diagnosis and mutation stratification of gastrointestinal stromal tumours on CT images using a radiomics approach." European Congress of Radiology (ECR) 2020 `_
-
`M. P. A. Starmans, F. E. Buisman, S. R. van der Voort, D. J. Grünhagen, P. B. Vermeulen, C. Verhoef, S.Klein, J.J. Visser. "Prediction of histopathological growth patterns by radiomics and CT-imaging in patients with operable colorectal liver metastases: a proof-of-concept study." European Congress of Radiology (ECR) 2020 `_
- `J. M. Castillo, M. P. A. Starmans, M. Arif, W. J. Niessen, S.Klein, I. G. Schoots, J. Veenland. "A multicentre-multivendor study to evaluate the generalisability of a radiomics model for classifying prostate cancer." European Congress of Radiology (ECR) 2020 `_
-
- `M. J. M. Timbergen, M. P. A. Starmans, M. Vos, M. Renckens, D. J. Grünhagen, G. J. L. H. van Leenders, W. J. Niessen, C. Verhoef, S. Sleijfer, S. Klein, J. J. Visser. "Radiomics of Gastrointestinal Stromal Tumors; Risk Classification Based on Computed Tomography Images–A Pilot Study." European Journal of Surgical Oncology 2020 `_
-
`M. Vos, M. P. A. Starmans, M. J. M Timbergen, S. R. van der Voort, G. A. Padmos, W. Kessels, W. J. Niessen, G. J. L. H. van Leenders, D. J. Grünhagen, S. Sleijfer, C. Verhoef, S. Klein, J. J. Visser. "Radiomics approach to distinguish between well differentiated liposarcomas and lipomas on MRI" British Journal of Surgery 2019 `_
- `M. P. A. Starmans, S. R. van der Voort, R. L. Miclea, M. Vos, F. Incekara, M. J. M. Timbergen, Maarten M. J. Wijnenga, G. A. Padmos, W. Kessels, G. H. J. van Leenders, G. Kapsas, M. J. van den Bent, A. J. P. E. Vincent, D. J. Grünhagen, C. Verhoef, S. Sleijfer, J. J. Visser, M. Smits, M. G. Thomeer, W. J. Niessen, S. Klein. "Fully Automatic Construction of Optimal Radiomics Workflows ." Bio-Medical Engineering (BME) Conference 2019. `_
-
- `M. P. A. Starmans, R. Miclea, S. R. van der Voort, W. J. Niessen, S. Klein and M. G. Thomeer. "Classification of malignant and benign liver tumours using a radiomics approach." European Congress of Radiology (ECR) 2019. `_
-
- `M. P. A. Starmans, A. Blazevic, S. R. van der Voort, T. Brabander, J. Hofland, W. J. Niessen, W. W. de Herder and S. Klein. "Prediction of surgery requirement in mesenteric fibrosis on CT using a radiomics approach." European Congress of Radiology (ECR) 2019. `_
-
`J. M. Castillo T., M. P. A. Starmans, I. Schoots, W. J. Niessen, S. Klein, J. F. Veenland. "CLASSIFICATION OF PROSTATE CANCER: HIGH GRADE VERSUS LOW GRADE USING A RADIOMICS APPROACH." IEEE International Symposium on Biomedical Imaging (ISBI) 2019. `_
`M. P. A. Starmans, R. Miclea, S. R. van der Voort, W. J. Niessen, M. G. Thomeer and S. Klein. "Classification of malignant and benign liver tumors using a radiomics approach." Proceedings Volume 10574, Medical Imaging 2018: Image Processing; 105741D (2018) . `_
- `M. J. M. Timbergen, M. P. A. Starmans, M. Vos, S. R. van der Voort, G. A. Padmos, W. Kessels, W. J. Niessen, G. J. L. H. van Leenders, D. J. Grünhagen, S. Sleijfer, C. Verhoef, S. Klein, J. J. Visser. "Mutation stratification of desmoid-type fibromatosis using a Radiomics approach." Desmoid Tumor Research Foundation (DTRF) 2018. `_
-
- M. Vos, M. P. A. Starmans, M. J.M. Timbergen, S. R. van der Voort, G. A. Padmos, W. Kessels, W. J. Niessen, G. J. L. H. van Leenders, D. J. Grünhagen, S. Sleijfer, C. Verhoef, S. Klein, J. J. Visser. "Differentiating well-differentiated liposarcomas from lipomas using a Radiomics approach." Connective Tissue Oncology Society (CTOS) conference 2018.
-
- M. J. M. Timbergen, M. P. A. Starmans, M. Vos, S. R. van der Voort, G. A. Padmos, W. Kessels, W. J. Niessen, G. J. L. H. van Leenders, D. J. Grünhagen, S. Sleijfer, C. Verhoef, S. Klein, J. J. Visser. "Mutation stratification of desmoid-type fibromatosis using a Radiomics approach." Connective Tissue Oncology Society (CTOS) conference 2018.
-
WORC is made possible by contributions from the following people: Martijn P. A. Starmans, Sebastian R. van der Voort, Thomas Phil, and Stefan Klein
diff --git a/WORC/doc/_build/html/_sources/static/user_manual.rst.txt b/WORC/doc/_build/html/_sources/static/user_manual.rst.txt
index e2a03444..a8cb3dae 100644
--- a/WORC/doc/_build/html/_sources/static/user_manual.rst.txt
+++ b/WORC/doc/_build/html/_sources/static/user_manual.rst.txt
@@ -294,7 +294,7 @@ Within these evaluation settings, the following performance evaluation methods a
In bootstrapping, 95% confidence intervals are created using the ''standard'' method according to a normal distribution: see Table 6, method 1 in `Efron B., Tibshirani R. Bootstrap Methods for Standard Errors,
Confidence Intervals, and Other Measures of Statistical Accuracy, Statistical Science Vol.1, No,1, 54-77, 1986`.
-2. ROC curve with 95% confidence intervals using the fixed-width bands method, see `Macskassy S. A., Provost F., Rosset S. ROC Confidence Bands: An Empirical Evaluation. In: Proceedings of the 22nd international conference on Machine learning. 2005.`
+2. ROC and PRC curves with 95% confidence intervals using the fixed-width bands method, see `Macskassy S. A., Provost F., Rosset S. ROC Confidence Bands: An Empirical Evaluation. In: Proceedings of the 22nd international conference on Machine learning. 2005.`
3. Univariate statistical testing of the features using:
diff --git a/WORC/doc/_build/html/_static/documentation_options.js b/WORC/doc/_build/html/_static/documentation_options.js
index 33eafdf3..1d0981c2 100644
--- a/WORC/doc/_build/html/_static/documentation_options.js
+++ b/WORC/doc/_build/html/_static/documentation_options.js
@@ -1,6 +1,6 @@
var DOCUMENTATION_OPTIONS = {
URL_ROOT: document.getElementById("documentation_options").getAttribute('data-url_root'),
- VERSION: '3.4.5',
+ VERSION: '3.5.0',
LANGUAGE: 'None',
COLLAPSE_INDEX: false,
FILE_SUFFIX: '.html',
diff --git a/WORC/doc/_build/html/autogen/WORC.IOparser.html b/WORC/doc/_build/html/autogen/WORC.IOparser.html
index 25f88af6..120cb57b 100644
--- a/WORC/doc/_build/html/autogen/WORC.IOparser.html
+++ b/WORC/doc/_build/html/autogen/WORC.IOparser.html
@@ -8,7 +8,7 @@
- IOparser Package — WORC 3.4.5 documentation
+ IOparser Package — WORC 3.5.0 documentation
@@ -64,7 +64,7 @@
- 3.4.5
+ 3.5.0
@@ -119,6 +119,7 @@
classification Package
detectors Package
exampledata Package
+export Package
facade Package
fastrconfig Package
featureprocessing Package
diff --git a/WORC/doc/_build/html/autogen/WORC.classification.html b/WORC/doc/_build/html/autogen/WORC.classification.html
index 66ac0136..92008c45 100644
--- a/WORC/doc/_build/html/autogen/WORC.classification.html
+++ b/WORC/doc/_build/html/autogen/WORC.classification.html
@@ -8,7 +8,7 @@
- classification Package — WORC 3.4.5 documentation
+ classification Package — WORC 3.5.0 documentation
@@ -64,7 +64,7 @@
- 3.4.5
+ 3.5.0
@@ -124,6 +124,7 @@
detectors Package
exampledata Package
+export Package
facade Package
fastrconfig Package
featureprocessing Package
diff --git a/WORC/doc/_build/html/autogen/WORC.config.html b/WORC/doc/_build/html/autogen/WORC.config.html
index fb37156b..6ceb0649 100644
--- a/WORC/doc/_build/html/autogen/WORC.config.html
+++ b/WORC/doc/_build/html/autogen/WORC.config.html
@@ -8,7 +8,7 @@
- <no title> — WORC 3.4.5 documentation
+ <no title> — WORC 3.5.0 documentation
@@ -62,7 +62,7 @@
- 3.4.5
+ 3.5.0
diff --git a/WORC/doc/_build/html/autogen/WORC.detectors.html b/WORC/doc/_build/html/autogen/WORC.detectors.html
index d373c411..a8cf4925 100644
--- a/WORC/doc/_build/html/autogen/WORC.detectors.html
+++ b/WORC/doc/_build/html/autogen/WORC.detectors.html
@@ -8,7 +8,7 @@
- detectors Package — WORC 3.4.5 documentation
+ detectors Package — WORC 3.5.0 documentation
@@ -64,7 +64,7 @@
- 3.4.5
+ 3.5.0
@@ -113,6 +113,7 @@
exampledata Package
+export Package
facade Package
fastrconfig Package
featureprocessing Package
diff --git a/WORC/doc/_build/html/autogen/WORC.exampledata.html b/WORC/doc/_build/html/autogen/WORC.exampledata.html
index 2131b268..e8f1602e 100644
--- a/WORC/doc/_build/html/autogen/WORC.exampledata.html
+++ b/WORC/doc/_build/html/autogen/WORC.exampledata.html
@@ -8,7 +8,7 @@
- exampledata Package — WORC 3.4.5 documentation
+ exampledata Package — WORC 3.5.0 documentation
@@ -36,7 +36,7 @@
-
+
@@ -64,7 +64,7 @@
- 3.4.5
+ 3.5.0
@@ -114,6 +114,7 @@
datadownloader
Module
+export Package
facade Package
fastrconfig Package
featureprocessing Package
@@ -234,7 +235,7 @@ exampledata Package
- Next
+ Next
Previous
diff --git a/WORC/doc/_build/html/autogen/WORC.facade.html b/WORC/doc/_build/html/autogen/WORC.facade.html
index 0d291427..984195ba 100644
--- a/WORC/doc/_build/html/autogen/WORC.facade.html
+++ b/WORC/doc/_build/html/autogen/WORC.facade.html
@@ -8,7 +8,7 @@
- facade Package — WORC 3.4.5 documentation
+ facade Package — WORC 3.5.0 documentation
@@ -37,7 +37,7 @@
-
+
@@ -64,7 +64,7 @@
- 3.4.5
+ 3.5.0
@@ -110,6 +110,7 @@
classification Package
detectors Package
exampledata Package
+export Package
facade Package
facade
Package
basicworc
Module
@@ -299,7 +300,7 @@
Ranking of patients based on percentage / posterior
Decompositions (e.g. PCA, t-SNE)
-See the WORC documentation for additional info.
+See the WORC documentation for additional info.
diff --git a/WORC/doc/_build/html/autogen/WORC.featureprocessing.html b/WORC/doc/_build/html/autogen/WORC.featureprocessing.html
index 04816df0..71ebd779 100644
--- a/WORC/doc/_build/html/autogen/WORC.featureprocessing.html
+++ b/WORC/doc/_build/html/autogen/WORC.featureprocessing.html
@@ -8,7 +8,7 @@
- featureprocessing Package — WORC 3.4.5 documentation
+ featureprocessing Package — WORC 3.5.0 documentation
@@ -64,7 +64,7 @@
- 3.4.5
+ 3.5.0
@@ -110,6 +110,7 @@
classification Package
detectors Package
exampledata Package
+export Package
facade Package
fastrconfig Package
featureprocessing Package
diff --git a/WORC/doc/_build/html/autogen/WORC.html b/WORC/doc/_build/html/autogen/WORC.html
index e853aa2f..cd76b6a0 100644
--- a/WORC/doc/_build/html/autogen/WORC.html
+++ b/WORC/doc/_build/html/autogen/WORC.html
@@ -8,7 +8,7 @@
- WORC Package — WORC 3.4.5 documentation
+ WORC Package — WORC 3.5.0 documentation
@@ -64,7 +64,7 @@
- 3.4.5
+ 3.5.0
@@ -110,6 +110,7 @@
- classification Package
- detectors Package
- exampledata Package
+- export Package
- facade Package
- fastrconfig Package
- featureprocessing Package
@@ -578,6 +579,10 @@ Subpackagesdatadownloader
Module
+export Package
+
facade Package
facade
Package
basicworc
Module
diff --git a/WORC/doc/_build/html/autogen/WORC.plotting.html b/WORC/doc/_build/html/autogen/WORC.plotting.html
index 35080837..dd0ca31a 100644
--- a/WORC/doc/_build/html/autogen/WORC.plotting.html
+++ b/WORC/doc/_build/html/autogen/WORC.plotting.html
@@ -8,7 +8,7 @@
- plotting Package — WORC 3.4.5 documentation
+ plotting Package — WORC 3.5.0 documentation
@@ -64,7 +64,7 @@
- 3.4.5
+ 3.5.0
@@ -110,6 +110,7 @@
- classification Package
- detectors Package
- exampledata Package
+- export Package
- facade Package
- fastrconfig Package
- featureprocessing Package
@@ -538,7 +539,7 @@
-
-
WORC.plotting.plot_images.
slicer
(image, mask=None, output_name=None, output_name_zoom=None, thresholds=[-240, 160], zoomfactor=4, dpi=500, normalize=False, expand=False, boundary=False, square=False, flip=True, rot90=0, alpha=0.4, axis='axial', index=None, color='cyan')[source]¶
+WORC.plotting.plot_images.
slicer
(image, mask=None, output_name=None, output_name_zoom=None, thresholds=[-240, 160], zoomfactor=4, dpi=500, normalize=False, expand=False, boundary=False, square=False, flip=True, rot90=0, alpha=0.4, axis='axial', index=None, color='cyan', radius=2)[source]¶
Plot slice of image where mask is largest, with mask as overlay.
image and mask should both be arrays
diff --git a/WORC/doc/_build/html/autogen/WORC.processing.html b/WORC/doc/_build/html/autogen/WORC.processing.html
index b0a7aea5..6f34f570 100644
--- a/WORC/doc/_build/html/autogen/WORC.processing.html
+++ b/WORC/doc/_build/html/autogen/WORC.processing.html
@@ -8,7 +8,7 @@
- processing Package — WORC 3.4.5 documentation
+ processing Package — WORC 3.5.0 documentation
@@ -64,7 +64,7 @@
- 3.4.5
+ 3.5.0
@@ -110,6 +110,7 @@
- classification Package
- detectors Package
- exampledata Package
+- export Package
- facade Package
- fastrconfig Package
- featureprocessing Package
diff --git a/WORC/doc/_build/html/autogen/WORC.resources.fastr_tests.html b/WORC/doc/_build/html/autogen/WORC.resources.fastr_tests.html
index ac349337..d1f9ee00 100644
--- a/WORC/doc/_build/html/autogen/WORC.resources.fastr_tests.html
+++ b/WORC/doc/_build/html/autogen/WORC.resources.fastr_tests.html
@@ -8,7 +8,7 @@
- fastr_tests Package — WORC 3.4.5 documentation
+ fastr_tests Package — WORC 3.5.0 documentation
@@ -64,7 +64,7 @@
- 3.4.5
+ 3.5.0
@@ -110,6 +110,7 @@
- classification Package
- detectors Package
- exampledata Package
+- export Package
- facade Package
- fastrconfig Package
- featureprocessing Package
diff --git a/WORC/doc/_build/html/autogen/WORC.resources.fastr_tools.html b/WORC/doc/_build/html/autogen/WORC.resources.fastr_tools.html
index 609d4cec..e218762d 100644
--- a/WORC/doc/_build/html/autogen/WORC.resources.fastr_tools.html
+++ b/WORC/doc/_build/html/autogen/WORC.resources.fastr_tools.html
@@ -8,7 +8,7 @@
- fastr_tools Package — WORC 3.4.5 documentation
+ fastr_tools Package — WORC 3.5.0 documentation
@@ -64,7 +64,7 @@
- 3.4.5
+ 3.5.0
@@ -110,6 +110,7 @@
- classification Package
- detectors Package
- exampledata Package
+- export Package
- facade Package
- fastrconfig Package
- featureprocessing Package
diff --git a/WORC/doc/_build/html/autogen/WORC.resources.html b/WORC/doc/_build/html/autogen/WORC.resources.html
index 877baba7..ac656c76 100644
--- a/WORC/doc/_build/html/autogen/WORC.resources.html
+++ b/WORC/doc/_build/html/autogen/WORC.resources.html
@@ -8,7 +8,7 @@
- resources Package — WORC 3.4.5 documentation
+ resources Package — WORC 3.5.0 documentation
@@ -64,7 +64,7 @@
- 3.4.5
+ 3.5.0
@@ -110,6 +110,7 @@
- classification Package
- detectors Package
- exampledata Package
+- export Package
- facade Package
- fastrconfig Package
- featureprocessing Package
diff --git a/WORC/doc/_build/html/autogen/WORC.tools.html b/WORC/doc/_build/html/autogen/WORC.tools.html
index 6a6f0c12..ea7350b0 100644
--- a/WORC/doc/_build/html/autogen/WORC.tools.html
+++ b/WORC/doc/_build/html/autogen/WORC.tools.html
@@ -8,7 +8,7 @@
- tools Package — WORC 3.4.5 documentation
+ tools Package — WORC 3.5.0 documentation
@@ -64,7 +64,7 @@
- 3.4.5
+ 3.5.0
@@ -110,6 +110,7 @@
- classification Package
- detectors Package
- exampledata Package
+- export Package
- facade Package
- fastrconfig Package
- featureprocessing Package
diff --git a/WORC/doc/_build/html/genindex.html b/WORC/doc/_build/html/genindex.html
index b9fb49a5..d91a03fb 100644
--- a/WORC/doc/_build/html/genindex.html
+++ b/WORC/doc/_build/html/genindex.html
@@ -9,7 +9,7 @@
- Index — WORC 3.4.5 documentation
+ Index — WORC 3.5.0 documentation
@@ -63,7 +63,7 @@
- 3.4.5
+ 3.5.0
@@ -857,6 +857,8 @@ E
- exp_uniform (class in WORC.classification.AdvancedSampler)
+
+ - export_hyper_params_to_latex() (in module WORC.export.hyper_params_exporter)
- extract_boundary() (in module WORC.plotting.plot_images)
@@ -1459,6 +1461,8 @@ W
- WORC.exampledata.create_example_data (module)
- WORC.exampledata.datadownloader (module)
+
+ - WORC.export.hyper_params_exporter (module)
- WORC.facade (module)
@@ -1517,11 +1521,11 @@ W
- WORC.IOparser.file_io (module)
- WORC.plotting (module)
-
- - WORC.plotting.compute_CI (module)
+ - WORC.plotting.compute_CI (module)
+
- WORC.plotting.linstretch (module)
- WORC.plotting.plot_barchart (module)
diff --git a/WORC/doc/_build/html/index.html b/WORC/doc/_build/html/index.html
index 3a38a896..d014a85f 100644
--- a/WORC/doc/_build/html/index.html
+++ b/WORC/doc/_build/html/index.html
@@ -8,7 +8,7 @@
-
WORC: Workflow for Optimal Radiomics Classification — WORC 3.4.5 documentation
+ WORC: Workflow for Optimal Radiomics Classification — WORC 3.5.0 documentation
@@ -63,7 +63,7 @@
- 3.4.5
+ 3.5.0
@@ -177,7 +177,9 @@ Welcome to the WORC documentation!
Note
-Despite the name, besides classification, WORC can actually also be used for regression and multilabel classification. Survival is WIP.
+Despite the name, besides classification, WORC can actually also be
+used for regression and multilabel classification. See for more details the
+Additional functionality chapter.
We aim to establish a general radiomics platform supporting easy
integration of other tools. With our modular build and support of
@@ -196,11 +198,14 @@
Welcome to the WORC documentation!M. P. A. Starmans, S. R. van der Voort, J. M. Castillo T., J. F. Veenland, S. Klein, W. J. Niessen. “Radiomics: Data mining using quantitative medical image features” Handbook of Medical Image Computing and Computer Assisted Intervention (MICCAI) 2020
-
The article on WORC is currently in preparation. WORC has been presented at the following conferences:
+The article on WORC is currently in preparation. WORC among others has been
+presented at the following conferences:
+
+
WORC has among others been used in the following studies:
@@ -209,32 +214,10 @@ Welcome to the WORC documentation!J. M. Castillo T., M. Arif, W. J. Niessen, S. Klein, C. H. Bangma, I. G. Schoots, J. F. Veenland. “A Multi-Center, Multi-Vendor Study to Evaluate the Generalizability of a Radiomics Model for Classifying Prostate Cancer: High Grade vs. Low Grade.” Diagnostics 2021
-
-
-
-
-
-
-
-
-
-
-
-Vos, M. P. A. Starmans, M. J.M. Timbergen, S. R. van der Voort, G. A. Padmos, W. Kessels, W. J. Niessen, G. J. L. H. van Leenders, D. J. Grünhagen, S. Sleijfer, C. Verhoef, S. Klein, J. J. Visser. “Differentiating well-differentiated liposarcomas from lipomas using a Radiomics approach.” Connective Tissue Oncology Society (CTOS) conference 2018.
-
-
-
-
-Timbergen, M. P. A. Starmans, M. Vos, S. R. van der Voort, G. A. Padmos, W. Kessels, W. J. Niessen, G. J. L. H. van Leenders, D. J. Grünhagen, S. Sleijfer, C. Verhoef, S. Klein, J. J. Visser. “Mutation stratification of desmoid-type fibromatosis using a Radiomics approach.” Connective Tissue Oncology Society (CTOS) conference 2018.
-
-
-
-
-
WORC is made possible by contributions from the following people: Martijn P. A. Starmans, Sebastian R. van der Voort, Thomas Phil, and Stefan Klein
@@ -333,9 +316,11 @@ WORC DocumentationAdditional functionality
- FAQ
@@ -365,156 +350,162 @@ WORC DocumentationResource File Formats
- Changelog
-- 3.4.5 - 2021-07-09
+- 3.5.0 - 2021-08-18
-- 3.4.4 - 2021-07-01
+- 3.4.5 - 2021-07-09
-- 3.4.3 - 2021-06-02
+- 3.4.4 - 2021-07-01
-- 3.4.2 - 2021-05-27
-- Fixed
-- Added
+- 3.4.3 - 2021-06-02
-- 3.4.1 - 2021-05-18
-- Fixed
-- Changed
+- 3.4.2 - 2021-05-27
-- 3.4.0 - 2021-02-02
+- 3.4.1 - 2021-05-18
-- 3.3.5 - 2020-10-21
+- 3.4.0 - 2021-02-02
-- 3.3.4 - 2020-10-06
+- 3.3.5 - 2020-10-21
-- 3.3.3 - 2020-09-11
+- 3.3.4 - 2020-10-06
-- 3.3.2 - 2020-08-19
-- Fixed
-- Added
-- Changed
+- 3.3.3 - 2020-09-11
-- 3.3.1 - 2020-07-31
-- Changed
-- Fixed
+- 3.3.2 - 2020-08-19
-- 3.3.0 - 2020-07-28
-- Added
+- 3.3.1 - 2020-07-31
-- 3.2.2 - 2020-07-14
+- 3.3.0 - 2020-07-28
-- 3.2.1 - 2020-07-02
+- 3.2.2 - 2020-07-14
-- 3.2.0 - 2020-06-26
+- 3.2.1 - 2020-07-02
-- 3.1.4 - 2020-05-26
+- 3.2.0 - 2020-06-26
-- 3.1.3 - 2020-01-24
+- 3.1.4 - 2020-05-26
-- 3.1.2 - 2019-12-09
+- 3.1.3 - 2020-01-24
-- 3.1.1 - 2019-11-28
+- 3.1.2 - 2019-12-09
-- 3.1.0 - 2019-10-16
+- 3.1.1 - 2019-11-28
-- 3.0.0 - 2019-05-08
+- 3.1.0 - 2019-10-16
-- 2.1.3 - 2019-04-08
-- Changed
+- 3.0.0 - 2019-05-08
-- 2.1.2 - 2019-04-02
-- Added
-- Changed
-- Fixed
+- 2.1.3 - 2019-04-08
-- 2.1.1 - 2019-02-15
+- 2.1.2 - 2019-04-02
-- 2.1.0 - 2018-08-09
+- 2.1.1 - 2019-02-15
-- 2.0.0 - 2018-02-13
@@ -569,6 +560,10 @@ WORC Developer Module referencedatadownloader
Module
+- export Package
+
- facade Package
facade
Package
basicworc
Module
diff --git a/WORC/doc/_build/html/objects.inv b/WORC/doc/_build/html/objects.inv
index e5f5fa14..c812c6b0 100644
Binary files a/WORC/doc/_build/html/objects.inv and b/WORC/doc/_build/html/objects.inv differ
diff --git a/WORC/doc/_build/html/py-modindex.html b/WORC/doc/_build/html/py-modindex.html
index d85aa795..76902772 100644
--- a/WORC/doc/_build/html/py-modindex.html
+++ b/WORC/doc/_build/html/py-modindex.html
@@ -8,7 +8,7 @@
- Python Module Index — WORC 3.4.5 documentation
+ Python Module Index — WORC 3.5.0 documentation
@@ -65,7 +65,7 @@
- 3.4.5
+ 3.5.0
@@ -265,6 +265,11 @@ Python Module Index
WORC.exampledata.datadownloader
+
+
+
+ WORC.export.hyper_params_exporter
+
diff --git a/WORC/doc/_build/html/search.html b/WORC/doc/_build/html/search.html
index 76381b72..ed4e0c2d 100644
--- a/WORC/doc/_build/html/search.html
+++ b/WORC/doc/_build/html/search.html
@@ -8,7 +8,7 @@
- Search — WORC 3.4.5 documentation
+ Search — WORC 3.5.0 documentation
@@ -63,7 +63,7 @@
- 3.4.5
+ 3.5.0
diff --git a/WORC/doc/_build/html/searchindex.js b/WORC/doc/_build/html/searchindex.js
index 78b5b125..6e2e48e0 100644
--- a/WORC/doc/_build/html/searchindex.js
+++ b/WORC/doc/_build/html/searchindex.js
@@ -1 +1 @@
-Search.setIndex({docnames:["autogen/WORC","autogen/WORC.IOparser","autogen/WORC.classification","autogen/WORC.config","autogen/WORC.detectors","autogen/WORC.exampledata","autogen/WORC.facade","autogen/WORC.facade.helpers","autogen/WORC.fastrconfig","autogen/WORC.featureprocessing","autogen/WORC.plotting","autogen/WORC.processing","autogen/WORC.resources","autogen/WORC.resources.fastr_tests","autogen/WORC.resources.fastr_tools","autogen/WORC.statistics","autogen/WORC.tests","autogen/WORC.tools","autogen/WORC.validators","autogen/config/WORC.config_Bootstrap_defopts","autogen/config/WORC.config_Bootstrap_description","autogen/config/WORC.config_Classification_defopts","autogen/config/WORC.config_Classification_description","autogen/config/WORC.config_ComBat_defopts","autogen/config/WORC.config_ComBat_description","autogen/config/WORC.config_CrossValidation_defopts","autogen/config/WORC.config_CrossValidation_description","autogen/config/WORC.config_Ensemble_defopts","autogen/config/WORC.config_Ensemble_description","autogen/config/WORC.config_Evaluation_defopts","autogen/config/WORC.config_Evaluation_description","autogen/config/WORC.config_FeatPreProcess_defopts","autogen/config/WORC.config_FeatPreProcess_description","autogen/config/WORC.config_Featsel_defopts","autogen/config/WORC.config_Featsel_description","autogen/config/WORC.config_FeatureScaling_defopts","autogen/config/WORC.config_FeatureScaling_description","autogen/config/WORC.config_General_defopts","autogen/config/WORC.config_General_description","autogen/config/WORC.config_HyperOptimization_defopts","autogen/config/WORC.config_HyperOptimization_description","autogen/config/WORC.config_ImageFeatures_defopts","autogen/config/WORC.config_ImageFeatures_description","autogen/config/WORC.config_Imputation_defopts","autogen/config/WORC.config_Imputation_description","autogen/config/WORC.config_Labels_defopts","autogen/config/WORC.config_Labels_description","autogen/config/WORC.config_OneHotEncoding_defopts","autogen/config/WORC.config_OneHotEncoding_description","autogen/config/WORC.config_Preprocessing_defopts","autogen/config/WORC.config_Preprocessing_description","autogen/config/WORC.config_PyRadiomics_defopts","autogen/config/WORC.config_PyRadiomics_description","autogen/config/WORC.config_Resampling_defopts","autogen/config/WORC.config_Resampling_description","autogen/config/WORC.config_Segmentix_defopts","autogen/config/WORC.config_Segmentix_description","autogen/config/WORC.config_SelectFeatGroup_defopts","autogen/config/WORC.config_SelectFeatGroup_description","index","static/additionalfunctionality","static/changelog","static/configuration","static/datamining","static/developerdocumentation","static/faq","static/features","static/file_description","static/introduction","static/quick_start","static/user_manual"],envversion:{"sphinx.domains.c":1,"sphinx.domains.changeset":1,"sphinx.domains.cpp":1,"sphinx.domains.javascript":1,"sphinx.domains.math":2,"sphinx.domains.python":1,"sphinx.domains.rst":1,"sphinx.domains.std":1,"sphinx.ext.intersphinx":1,"sphinx.ext.todo":1,"sphinx.ext.viewcode":1,sphinx:56},filenames:["autogen/WORC.rst","autogen/WORC.IOparser.rst","autogen/WORC.classification.rst","autogen/WORC.config.rst","autogen/WORC.detectors.rst","autogen/WORC.exampledata.rst","autogen/WORC.facade.rst","autogen/WORC.facade.helpers.rst","autogen/WORC.fastrconfig.rst","autogen/WORC.featureprocessing.rst","autogen/WORC.plotting.rst","autogen/WORC.processing.rst","autogen/WORC.resources.rst","autogen/WORC.resources.fastr_tests.rst","autogen/WORC.resources.fastr_tools.rst","autogen/WORC.statistics.rst","autogen/WORC.tests.rst","autogen/WORC.tools.rst","autogen/WORC.validators.rst","autogen/config/WORC.config_Bootstrap_defopts.rst","autogen/config/WORC.config_Bootstrap_description.rst","autogen/config/WORC.config_Classification_defopts.rst","autogen/config/WORC.config_Classification_description.rst","autogen/config/WORC.config_ComBat_defopts.rst","autogen/config/WORC.config_ComBat_description.rst","autogen/config/WORC.config_CrossValidation_defopts.rst","autogen/config/WORC.config_CrossValidation_description.rst","autogen/config/WORC.config_Ensemble_defopts.rst","autogen/config/WORC.config_Ensemble_description.rst","autogen/config/WORC.config_Evaluation_defopts.rst","autogen/config/WORC.config_Evaluation_description.rst","autogen/config/WORC.config_FeatPreProcess_defopts.rst","autogen/config/WORC.config_FeatPreProcess_description.rst","autogen/config/WORC.config_Featsel_defopts.rst","autogen/config/WORC.config_Featsel_description.rst","autogen/config/WORC.config_FeatureScaling_defopts.rst","autogen/config/WORC.config_FeatureScaling_description.rst","autogen/config/WORC.config_General_defopts.rst","autogen/config/WORC.config_General_description.rst","autogen/config/WORC.config_HyperOptimization_defopts.rst","autogen/config/WORC.config_HyperOptimization_description.rst","autogen/config/WORC.config_ImageFeatures_defopts.rst","autogen/config/WORC.config_ImageFeatures_description.rst","autogen/config/WORC.config_Imputation_defopts.rst","autogen/config/WORC.config_Imputation_description.rst","autogen/config/WORC.config_Labels_defopts.rst","autogen/config/WORC.config_Labels_description.rst","autogen/config/WORC.config_OneHotEncoding_defopts.rst","autogen/config/WORC.config_OneHotEncoding_description.rst","autogen/config/WORC.config_Preprocessing_defopts.rst","autogen/config/WORC.config_Preprocessing_description.rst","autogen/config/WORC.config_PyRadiomics_defopts.rst","autogen/config/WORC.config_PyRadiomics_description.rst","autogen/config/WORC.config_Resampling_defopts.rst","autogen/config/WORC.config_Resampling_description.rst","autogen/config/WORC.config_Segmentix_defopts.rst","autogen/config/WORC.config_Segmentix_description.rst","autogen/config/WORC.config_SelectFeatGroup_defopts.rst","autogen/config/WORC.config_SelectFeatGroup_description.rst","index.rst","static/additionalfunctionality.rst","static/changelog.rst","static/configuration.rst","static/datamining.rst","static/developerdocumentation.rst","static/faq.rst","static/features.rst","static/file_description.rst","static/introduction.rst","static/quick_start.rst","static/user_manual.rst"],objects:{"WORC.IOparser":{config_WORC:[1,0,0,"-"],config_io_PyRadiomics:[1,0,0,"-"],config_io_classifier:[1,0,0,"-"],config_io_combat:[1,0,0,"-"],config_preprocessing:[1,0,0,"-"],config_segmentix:[1,0,0,"-"],file_io:[1,0,0,"-"]},"WORC.IOparser.config_WORC":{load_config:[1,1,1,""]},"WORC.IOparser.config_io_PyRadiomics":{load_config:[1,1,1,""]},"WORC.IOparser.config_io_classifier":{load_config:[1,1,1,""]},"WORC.IOparser.config_io_combat":{load_config:[1,1,1,""]},"WORC.IOparser.config_preprocessing":{load_config:[1,1,1,""]},"WORC.IOparser.config_segmentix":{load_config:[1,1,1,""]},"WORC.IOparser.file_io":{convert_config_pyradiomics:[1,1,1,""],load_data:[1,1,1,""],load_features:[1,1,1,""]},"WORC.WORC":{Tools:[0,2,1,""],WORC:[0,2,1,""]},"WORC.WORC.Tools":{__dict__:[0,3,1,""],__init__:[0,4,1,""],__module__:[0,3,1,""],__weakref__:[0,3,1,""]},"WORC.WORC.WORC":{__dict__:[0,3,1,""],__init__:[0,4,1,""],__module__:[0,3,1,""],__weakref__:[0,3,1,""],add_ComBat:[0,4,1,""],add_elastix:[0,4,1,""],add_elastix_sourcesandsinks:[0,4,1,""],add_evaluation:[0,4,1,""],add_feature_calculator:[0,4,1,""],add_preprocessing:[0,4,1,""],add_segmentix:[0,4,1,""],add_tools:[0,4,1,""],build:[0,4,1,""],build_training:[0,4,1,""],defaultconfig:[0,4,1,""],execute:[0,4,1,""],save_config:[0,4,1,""],set:[0,4,1,""]},"WORC.addexceptions":{WORCAssertionError:[0,5,1,""],WORCError:[0,5,1,""],WORCIOError:[0,5,1,""],WORCIndexError:[0,5,1,""],WORCKeyError:[0,5,1,""],WORCNotImplementedError:[0,5,1,""],WORCTypeError:[0,5,1,""],WORCValueError:[0,5,1,""]},"WORC.addexceptions.WORCAssertionError":{__module__:[0,3,1,""]},"WORC.addexceptions.WORCError":{__module__:[0,3,1,""],__weakref__:[0,3,1,""]},"WORC.addexceptions.WORCIOError":{__module__:[0,3,1,""],__weakref__:[0,3,1,""]},"WORC.addexceptions.WORCIndexError":{__module__:[0,3,1,""]},"WORC.addexceptions.WORCKeyError":{__module__:[0,3,1,""]},"WORC.addexceptions.WORCNotImplementedError":{__module__:[0,3,1,""]},"WORC.addexceptions.WORCTypeError":{__module__:[0,3,1,""]},"WORC.addexceptions.WORCValueError":{__module__:[0,3,1,""]},"WORC.classification":{AdvancedSampler:[2,0,0,"-"],ObjectSampler:[2,0,0,"-"],SearchCV:[2,0,0,"-"],construct_classifier:[2,0,0,"-"],createfixedsplits:[2,0,0,"-"],crossval:[2,0,0,"-"],fitandscore:[2,0,0,"-"],metrics:[2,0,0,"-"],parameter_optimization:[2,0,0,"-"],regressors:[2,0,0,"-"],trainclassifier:[2,0,0,"-"]},"WORC.classification.AdvancedSampler":{AdvancedSampler:[2,2,1,""],boolean_uniform:[2,2,1,""],discrete_uniform:[2,2,1,""],exp_uniform:[2,2,1,""],log_uniform:[2,2,1,""]},"WORC.classification.AdvancedSampler.AdvancedSampler":{__dict__:[2,3,1,""],__init__:[2,4,1,""],__iter__:[2,4,1,""],__len__:[2,4,1,""],__module__:[2,3,1,""],__weakref__:[2,3,1,""]},"WORC.classification.AdvancedSampler.boolean_uniform":{__dict__:[2,3,1,""],__init__:[2,4,1,""],__module__:[2,3,1,""],__weakref__:[2,3,1,""],rvs:[2,4,1,""]},"WORC.classification.AdvancedSampler.discrete_uniform":{__dict__:[2,3,1,""],__init__:[2,4,1,""],__module__:[2,3,1,""],__weakref__:[2,3,1,""],rvs:[2,4,1,""]},"WORC.classification.AdvancedSampler.exp_uniform":{__dict__:[2,3,1,""],__init__:[2,4,1,""],__module__:[2,3,1,""],__weakref__:[2,3,1,""],rvs:[2,4,1,""]},"WORC.classification.AdvancedSampler.log_uniform":{__dict__:[2,3,1,""],__init__:[2,4,1,""],__module__:[2,3,1,""],__weakref__:[2,3,1,""],rvs:[2,4,1,""]},"WORC.classification.ObjectSampler":{ObjectSampler:[2,2,1,""]},"WORC.classification.ObjectSampler.ObjectSampler":{__dict__:[2,3,1,""],__init__:[2,4,1,""],__module__:[2,3,1,""],__weakref__:[2,3,1,""],fit:[2,4,1,""],init_ADASYN:[2,4,1,""],init_BorderlineSMOTE:[2,4,1,""],init_NearMiss:[2,4,1,""],init_NeighbourhoodCleaningRule:[2,4,1,""],init_RandomOverSampling:[2,4,1,""],init_RandomUnderSampling:[2,4,1,""],init_SMOTE:[2,4,1,""],init_SMOTEENN:[2,4,1,""],init_SMOTETomek:[2,4,1,""],transform:[2,4,1,""]},"WORC.classification.SearchCV":{BaseSearchCV:[2,2,1,""],BaseSearchCVJoblib:[2,2,1,""],BaseSearchCVfastr:[2,2,1,""],Ensemble:[2,2,1,""],GridSearchCVJoblib:[2,2,1,""],GridSearchCVfastr:[2,2,1,""],RandomizedSearchCVJoblib:[2,2,1,""],RandomizedSearchCVfastr:[2,2,1,""],chunks:[2,1,1,""],chunksdict:[2,1,1,""],rms_score:[2,1,1,""],sar_score:[2,1,1,""]},"WORC.classification.SearchCV.BaseSearchCV":{__abstractmethods__:[2,3,1,""],__init__:[2,4,1,""],__module__:[2,3,1,""],create_ensemble:[2,4,1,""],decision_function:[2,4,1,""],inverse_transform:[2,4,1,""],predict:[2,4,1,""],predict_log_proba:[2,4,1,""],predict_proba:[2,4,1,""],preprocess:[2,4,1,""],process_fit:[2,4,1,""],refit_and_score:[2,4,1,""],score:[2,4,1,""],transform:[2,4,1,""]},"WORC.classification.SearchCV.BaseSearchCVJoblib":{__abstractmethods__:[2,3,1,""],__module__:[2,3,1,""]},"WORC.classification.SearchCV.BaseSearchCVfastr":{__abstractmethods__:[2,3,1,""],__module__:[2,3,1,""]},"WORC.classification.SearchCV.Ensemble":{__abstractmethods__:[2,3,1,""],__init__:[2,4,1,""],__module__:[2,3,1,""],decision_function:[2,4,1,""],inverse_transform:[2,4,1,""],predict:[2,4,1,""],predict_log_proba:[2,4,1,""],predict_proba:[2,4,1,""],transform:[2,4,1,""]},"WORC.classification.SearchCV.GridSearchCVJoblib":{__abstractmethods__:[2,3,1,""],__init__:[2,4,1,""],__module__:[2,3,1,""],fit:[2,4,1,""]},"WORC.classification.SearchCV.GridSearchCVfastr":{__abstractmethods__:[2,3,1,""],__init__:[2,4,1,""],__module__:[2,3,1,""],fit:[2,4,1,""]},"WORC.classification.SearchCV.RandomizedSearchCVJoblib":{__abstractmethods__:[2,3,1,""],__init__:[2,4,1,""],__module__:[2,3,1,""],fit:[2,4,1,""]},"WORC.classification.SearchCV.RandomizedSearchCVfastr":{__abstractmethods__:[2,3,1,""],__init__:[2,4,1,""],__module__:[2,3,1,""],fit:[2,4,1,""]},"WORC.classification.construct_classifier":{construct_SVM:[2,1,1,""],construct_classifier:[2,1,1,""],create_param_grid:[2,1,1,""]},"WORC.classification.createfixedsplits":{createfixedsplits:[2,1,1,""]},"WORC.classification.crossval":{LOO_cross_validation:[2,1,1,""],crossval:[2,1,1,""],nocrossval:[2,1,1,""],random_split_cross_validation:[2,1,1,""],test_RS_Ensemble:[2,1,1,""]},"WORC.classification.fitandscore":{delete_cc_para:[2,1,1,""],delete_nonestimator_parameters:[2,1,1,""],fit_and_score:[2,1,1,""],replacenan:[2,1,1,""]},"WORC.classification.metrics":{ICC:[2,1,1,""],ICC_anova:[2,1,1,""],check_multimetric_scoring:[2,1,1,""],check_scoring:[2,1,1,""],f1_weighted_predictproba:[2,1,1,""],multi_class_auc:[2,1,1,""],multi_class_auc_score:[2,1,1,""],pairwise_auc:[2,1,1,""],performance_multilabel:[2,1,1,""],performance_singlelabel:[2,1,1,""]},"WORC.classification.parameter_optimization":{random_search_parameters:[2,1,1,""]},"WORC.classification.trainclassifier":{add_parameters_to_grid:[2,1,1,""],trainclassifier:[2,1,1,""]},"WORC.detectors":{detectors:[4,0,0,"-"]},"WORC.detectors.detectors":{AbstractDetector:[4,2,1,""],BigrClusterDetector:[4,2,1,""],CartesiusClusterDetector:[4,2,1,""],CsvDetector:[4,2,1,""],DebugDetector:[4,2,1,""],HostnameDetector:[4,2,1,""],LinuxDetector:[4,2,1,""],WORCDirectoryDetector:[4,2,1,""]},"WORC.detectors.detectors.AbstractDetector":{__abstractmethods__:[4,3,1,""],__dict__:[4,3,1,""],__module__:[4,3,1,""],__weakref__:[4,3,1,""],do_detection:[4,4,1,""]},"WORC.detectors.detectors.BigrClusterDetector":{__abstractmethods__:[4,3,1,""],__module__:[4,3,1,""]},"WORC.detectors.detectors.CartesiusClusterDetector":{__abstractmethods__:[4,3,1,""],__module__:[4,3,1,""]},"WORC.detectors.detectors.CsvDetector":{__abstractmethods__:[4,3,1,""],__init__:[4,4,1,""],__module__:[4,3,1,""]},"WORC.detectors.detectors.DebugDetector":{__abstractmethods__:[4,3,1,""],__module__:[4,3,1,""]},"WORC.detectors.detectors.HostnameDetector":{__abstractmethods__:[4,3,1,""],__init__:[4,4,1,""],__module__:[4,3,1,""]},"WORC.detectors.detectors.LinuxDetector":{__abstractmethods__:[4,3,1,""],__module__:[4,3,1,""]},"WORC.detectors.detectors.WORCDirectoryDetector":{__abstractmethods__:[4,3,1,""],__module__:[4,3,1,""]},"WORC.exampledata":{create_example_data:[5,0,0,"-"],datadownloader:[5,0,0,"-"]},"WORC.exampledata.create_example_data":{create_random_features:[5,1,1,""]},"WORC.exampledata.datadownloader":{download_HeadAndNeck:[5,1,1,""],download_project:[5,1,1,""],download_subject:[5,1,1,""]},"WORC.facade":{basicworc:[6,0,0,"-"],simpleworc:[6,0,0,"-"]},"WORC.facade.basicworc":{BasicWORC:[6,2,1,""]},"WORC.facade.basicworc.BasicWORC":{__init__:[6,4,1,""],__module__:[6,3,1,""],execute:[6,4,1,""]},"WORC.facade.helpers":{configbuilder:[7,0,0,"-"],exceptions:[7,0,0,"-"],processing:[7,0,0,"-"]},"WORC.facade.helpers.configbuilder":{ConfigBuilder:[7,2,1,""]},"WORC.facade.helpers.configbuilder.ConfigBuilder":{__dict__:[7,3,1,""],__init__:[7,4,1,""],__module__:[7,3,1,""],__weakref__:[7,3,1,""],build_config:[7,4,1,""],coarse_overrides:[7,4,1,""],custom_config_overrides:[7,4,1,""],estimator_scoring_overrides:[7,4,1,""],fullprint:[7,4,1,""]},"WORC.facade.helpers.exceptions":{InvalidCsvFileException:[7,5,1,""],InvalidOrderException:[7,5,1,""],NoFeaturesFoundException:[7,5,1,""],NoImagesFoundException:[7,5,1,""],NoMasksFoundException:[7,5,1,""],NoSegmentationsFoundException:[7,5,1,""],PathNotFoundException:[7,5,1,""]},"WORC.facade.helpers.exceptions.InvalidCsvFileException":{__init__:[7,4,1,""],__module__:[7,3,1,""],__weakref__:[7,3,1,""]},"WORC.facade.helpers.exceptions.InvalidOrderException":{__init__:[7,4,1,""],__module__:[7,3,1,""],__weakref__:[7,3,1,""]},"WORC.facade.helpers.exceptions.NoFeaturesFoundException":{__init__:[7,4,1,""],__module__:[7,3,1,""],__weakref__:[7,3,1,""]},"WORC.facade.helpers.exceptions.NoImagesFoundException":{__init__:[7,4,1,""],__module__:[7,3,1,""],__weakref__:[7,3,1,""]},"WORC.facade.helpers.exceptions.NoMasksFoundException":{__init__:[7,4,1,""],__module__:[7,3,1,""],__weakref__:[7,3,1,""]},"WORC.facade.helpers.exceptions.NoSegmentationsFoundException":{__init__:[7,4,1,""],__module__:[7,3,1,""],__weakref__:[7,3,1,""]},"WORC.facade.helpers.exceptions.PathNotFoundException":{__init__:[7,4,1,""],__module__:[7,3,1,""],__weakref__:[7,3,1,""]},"WORC.facade.helpers.processing":{convert_radiomix_features:[7,1,1,""]},"WORC.facade.simpleworc":{SimpleWORC:[6,2,1,""]},"WORC.facade.simpleworc.SimpleWORC":{__dict__:[6,3,1,""],__init__:[6,4,1,""],__module__:[6,3,1,""],__weakref__:[6,3,1,""],add_config_overrides:[6,4,1,""],add_evaluation:[6,4,1,""],binary_classification:[6,4,1,""],count_num_subjects:[6,4,1,""],execute:[6,4,1,""],features_from_radiomix_xlsx:[6,4,1,""],features_from_this_directory:[6,4,1,""],images_from_this_directory:[6,4,1,""],labels_from_this_file:[6,4,1,""],masks_from_this_directory:[6,4,1,""],multiclass_classification:[6,4,1,""],predict_labels:[6,4,1,""],regression:[6,4,1,""],segmentations_from_this_directory:[6,4,1,""],semantics_from_this_file:[6,4,1,""],set_fixed_splits:[6,4,1,""],set_multicore_execution:[6,4,1,""],set_tmpdir:[6,4,1,""],survival:[6,4,1,""]},"WORC.featureprocessing":{ComBat:[9,0,0,"-"],Decomposition:[9,0,0,"-"],FeatureConverter:[9,0,0,"-"],ICCThreshold:[9,0,0,"-"],Imputer:[9,0,0,"-"],OneHotEncoderWrapper:[9,0,0,"-"],Preprocessor:[9,0,0,"-"],Relief:[9,0,0,"-"],Scalers:[9,0,0,"-"],SelectGroups:[9,0,0,"-"],SelectIndividuals:[9,0,0,"-"],StatisticalTestFeatures:[9,0,0,"-"],StatisticalTestThreshold:[9,0,0,"-"],VarianceThreshold:[9,0,0,"-"]},"WORC.featureprocessing.ComBat":{ComBat:[9,1,1,""],ComBatMatlab:[9,1,1,""],ComBatPython:[9,1,1,""],Synthetictest:[9,1,1,""]},"WORC.featureprocessing.Decomposition":{Decomposition:[9,1,1,""]},"WORC.featureprocessing.FeatureConverter":{FeatureConverter:[9,1,1,""],convert_PREDICT:[9,1,1,""],convert_pyradiomics:[9,1,1,""],convert_pyradiomics_featurevector:[9,1,1,""]},"WORC.featureprocessing.ICCThreshold":{ICCThreshold:[9,2,1,""],convert_features_ICC_threshold:[9,1,1,""]},"WORC.featureprocessing.ICCThreshold.ICCThreshold":{__abstractmethods__:[9,3,1,""],__init__:[9,4,1,""],__module__:[9,3,1,""],fit:[9,4,1,""],transform:[9,4,1,""]},"WORC.featureprocessing.Imputer":{Imputer:[9,2,1,""]},"WORC.featureprocessing.Imputer.Imputer":{__dict__:[9,3,1,""],__init__:[9,4,1,""],__module__:[9,3,1,""],__weakref__:[9,3,1,""],fit:[9,4,1,""],transform:[9,4,1,""]},"WORC.featureprocessing.OneHotEncoderWrapper":{OneHotEncoderWrapper:[9,2,1,""],test:[9,1,1,""]},"WORC.featureprocessing.OneHotEncoderWrapper.OneHotEncoderWrapper":{__dict__:[9,3,1,""],__init__:[9,4,1,""],__module__:[9,3,1,""],__weakref__:[9,3,1,""],fit:[9,4,1,""],transform:[9,4,1,""]},"WORC.featureprocessing.Preprocessor":{Preprocessor:[9,2,1,""]},"WORC.featureprocessing.Preprocessor.Preprocessor":{__dict__:[9,3,1,""],__init__:[9,4,1,""],__module__:[9,3,1,""],__weakref__:[9,3,1,""],fit:[9,4,1,""],transform:[9,4,1,""]},"WORC.featureprocessing.Relief":{SelectMulticlassRelief:[9,2,1,""]},"WORC.featureprocessing.Relief.SelectMulticlassRelief":{__abstractmethods__:[9,3,1,""],__init__:[9,4,1,""],__module__:[9,3,1,""],fit:[9,4,1,""],multi_class_relief:[9,4,1,""],single_class_relief:[9,4,1,""],transform:[9,4,1,""]},"WORC.featureprocessing.Scalers":{LogStandardScaler:[9,2,1,""],RobustStandardScaler:[9,2,1,""],WORCScaler:[9,2,1,""],test:[9,1,1,""]},"WORC.featureprocessing.Scalers.LogStandardScaler":{__module__:[9,3,1,""],fit:[9,4,1,""]},"WORC.featureprocessing.Scalers.RobustStandardScaler":{__module__:[9,3,1,""],fit:[9,4,1,""]},"WORC.featureprocessing.Scalers.WORCScaler":{__init__:[9,4,1,""],__module__:[9,3,1,""],fit:[9,4,1,""],transform:[9,4,1,""]},"WORC.featureprocessing.SelectGroups":{SelectGroups:[9,2,1,""]},"WORC.featureprocessing.SelectGroups.SelectGroups":{__abstractmethods__:[9,3,1,""],__init__:[9,4,1,""],__module__:[9,3,1,""],fit:[9,4,1,""],transform:[9,4,1,""]},"WORC.featureprocessing.SelectIndividuals":{SelectIndividuals:[9,2,1,""]},"WORC.featureprocessing.SelectIndividuals.SelectIndividuals":{__abstractmethods__:[9,3,1,""],__init__:[9,4,1,""],__module__:[9,3,1,""],fit:[9,4,1,""],transform:[9,4,1,""]},"WORC.featureprocessing.StatisticalTestFeatures":{StatisticalTestFeatures:[9,1,1,""]},"WORC.featureprocessing.StatisticalTestThreshold":{StatisticalTestThreshold:[9,2,1,""]},"WORC.featureprocessing.StatisticalTestThreshold.StatisticalTestThreshold":{__abstractmethods__:[9,3,1,""],__init__:[9,4,1,""],__module__:[9,3,1,""],fit:[9,4,1,""],transform:[9,4,1,""]},"WORC.featureprocessing.VarianceThreshold":{VarianceThresholdMean:[9,2,1,""],selfeat_variance:[9,1,1,""]},"WORC.featureprocessing.VarianceThreshold.VarianceThresholdMean":{__abstractmethods__:[9,3,1,""],__init__:[9,4,1,""],__module__:[9,3,1,""],fit:[9,4,1,""],transform:[9,4,1,""]},"WORC.plotting":{compute_CI:[10,0,0,"-"],linstretch:[10,0,0,"-"],plot_ROC:[10,0,0,"-"],plot_barchart:[10,0,0,"-"],plot_boxplot_features:[10,0,0,"-"],plot_boxplot_performance:[10,0,0,"-"],plot_errors:[10,0,0,"-"],plot_estimator_performance:[10,0,0,"-"],plot_hyperparameters:[10,0,0,"-"],plot_images:[10,0,0,"-"],plot_pvalues_features:[10,0,0,"-"],plot_ranked_scores:[10,0,0,"-"],plotminmaxresponse:[10,0,0,"-"]},"WORC.plotting.compute_CI":{compute_confidence:[10,1,1,""],compute_confidence_bootstrap:[10,1,1,""],compute_confidence_logit:[10,1,1,""]},"WORC.plotting.linstretch":{linstretch:[10,1,1,""]},"WORC.plotting.plot_ROC":{curve_thresholding:[10,1,1,""],main:[10,1,1,""],plot_PRC_CIc:[10,1,1,""],plot_ROC:[10,1,1,""],plot_ROC_CIc:[10,1,1,""],plot_single_PRC:[10,1,1,""],plot_single_ROC:[10,1,1,""]},"WORC.plotting.plot_barchart":{count_parameters:[10,1,1,""],main:[10,1,1,""],paracheck:[10,1,1,""],plot_barchart:[10,1,1,""],plot_bars:[10,1,1,""]},"WORC.plotting.plot_boxplot_features":{generate_feature_boxplots:[10,1,1,""],plot_boxplot_features:[10,1,1,""]},"WORC.plotting.plot_boxplot_performance":{generate_performance_boxplots:[10,1,1,""],test:[10,1,1,""]},"WORC.plotting.plot_errors":{plot_errors:[10,1,1,""]},"WORC.plotting.plot_estimator_performance":{combine_multiple_estimators:[10,1,1,""],compute_statistics:[10,1,1,""],fit_thresholds:[10,1,1,""],main:[10,1,1,""],plot_estimator_performance:[10,1,1,""]},"WORC.plotting.plot_hyperparameters":{plot_hyperparameters:[10,1,1,""]},"WORC.plotting.plot_images":{bbox_2D:[10,1,1,""],extract_boundary:[10,1,1,""],plot_im_and_overlay:[10,1,1,""],slicer:[10,1,1,""]},"WORC.plotting.plot_pvalues_features":{manhattan_importance:[10,1,1,""]},"WORC.plotting.plot_ranked_scores":{example:[10,1,1,""],flatten_object:[10,1,1,""],main:[10,1,1,""],plot_ranked_images:[10,1,1,""],plot_ranked_percentages:[10,1,1,""],plot_ranked_posteriors:[10,1,1,""],plot_ranked_scores:[10,1,1,""]},"WORC.plotting.plotminmaxresponse":{main:[10,1,1,""]},"WORC.processing":{ExtractNLargestBlobsn:[11,0,0,"-"],classes:[11,0,0,"-"],helpers:[11,0,0,"-"],label_processing:[11,0,0,"-"],preprocessing:[11,0,0,"-"],segmentix:[11,0,0,"-"]},"WORC.processing.ExtractNLargestBlobsn":{ExtractNLargestBlobsn:[11,1,1,""]},"WORC.processing.classes":{"switch":[11,2,1,""]},"WORC.processing.classes.switch":{__dict__:[11,3,1,""],__init__:[11,4,1,""],__iter__:[11,4,1,""],__module__:[11,3,1,""],__weakref__:[11,3,1,""],match:[11,4,1,""]},"WORC.processing.helpers":{check_image_orientation:[11,1,1,""],resample_image:[11,1,1,""],transpose_image:[11,1,1,""]},"WORC.processing.label_processing":{findlabeldata:[11,1,1,""],load_config_XNAT:[11,1,1,""],load_label_XNAT:[11,1,1,""],load_label_csv:[11,1,1,""],load_label_txt:[11,1,1,""],load_labels:[11,1,1,""]},"WORC.processing.preprocessing":{bias_correct_image:[11,1,1,""],clip_image:[11,1,1,""],normalize_image:[11,1,1,""],preprocess:[11,1,1,""]},"WORC.processing.segmentix":{dilate_contour:[11,1,1,""],get_ring:[11,1,1,""],mask_contour:[11,1,1,""],segmentix:[11,1,1,""]},"WORC.resources":{fastr_tools:[14,0,0,"-"]},"WORC.resources.fastr_tests":{CalcFeatures_test:[13,0,0,"-"],elastix_test:[13,0,0,"-"],segmentix_test:[13,0,0,"-"]},"WORC.resources.fastr_tests.CalcFeatures_test":{create_network:[13,1,1,""],main:[13,1,1,""],sink_data:[13,1,1,""],source_data:[13,1,1,""]},"WORC.resources.fastr_tests.elastix_test":{create_network:[13,1,1,""],main:[13,1,1,""],sink_data:[13,1,1,""],source_data:[13,1,1,""]},"WORC.resources.fastr_tests.segmentix_test":{create_network:[13,1,1,""],main:[13,1,1,""],sink_data:[13,1,1,""],source_data:[13,1,1,""]},"WORC.statistics":{delong:[15,0,0,"-"]},"WORC.statistics.delong":{calc_pvalue:[15,1,1,""],compute_ground_truth_statistics:[15,1,1,""],compute_midrank:[15,1,1,""],compute_midrank_weight:[15,1,1,""],delong_roc_test:[15,1,1,""],delong_roc_variance:[15,1,1,""],fastDeLong:[15,1,1,""]},"WORC.tests":{WORCTutorialSimple_unittest_multiclass:[16,0,0,"-"],WORCTutorialSimple_unittest_regression:[16,0,0,"-"],test_combat:[16,0,0,"-"],test_helpers:[16,0,0,"-"],test_iccthreshold:[16,0,0,"-"],test_plot_errors:[16,0,0,"-"],test_validators:[16,0,0,"-"]},"WORC.tests.WORCTutorialSimple_unittest_multiclass":{main:[16,1,1,""]},"WORC.tests.WORCTutorialSimple_unittest_regression":{main:[16,1,1,""]},"WORC.tests.test_combat":{test_combat:[16,1,1,""],test_combat_fastr:[16,1,1,""]},"WORC.tests.test_helpers":{find_exampledatadir:[16,1,1,""],find_testdatadir:[16,1,1,""]},"WORC.tests.test_iccthreshold":{test_iccthreshold:[16,1,1,""]},"WORC.tests.test_plot_errors":{test_plot_errors:[16,1,1,""]},"WORC.tests.test_validators":{test_invalidlabelsvalidator_columnsubstring:[16,1,1,""],test_invalidlabelsvalidator_patientcolumn:[16,1,1,""],test_invalidlabelsvalidator_patientsubstring:[16,1,1,""],test_invalidlabelsvalidator_validconfig:[16,1,1,""]},"WORC.tools":{Elastix:[17,0,0,"-"],Evaluate:[17,0,0,"-"],Inference:[17,0,0,"-"],Slicer:[17,0,0,"-"],Transformix:[17,0,0,"-"],createfixedsplits:[17,0,0,"-"]},"WORC.tools.Elastix":{Elastix:[17,2,1,""]},"WORC.tools.Elastix.Elastix":{__dict__:[17,3,1,""],__init__:[17,4,1,""],__module__:[17,3,1,""],__weakref__:[17,3,1,""],addchangeorder:[17,4,1,""],create_bbox:[17,4,1,""],create_network:[17,4,1,""],execute:[17,4,1,""],getparametermap:[17,4,1,""]},"WORC.tools.Evaluate":{Evaluate:[17,2,1,""]},"WORC.tools.Evaluate.Evaluate":{__dict__:[17,3,1,""],__init__:[17,4,1,""],__module__:[17,3,1,""],__weakref__:[17,3,1,""],create_links_Addon:[17,4,1,""],create_links_Standalone:[17,4,1,""],create_network:[17,4,1,""],execute:[17,4,1,""],set:[17,4,1,""]},"WORC.tools.Inference":{Inference:[17,2,1,""]},"WORC.tools.Inference.Inference":{__dict__:[17,3,1,""],__init__:[17,4,1,""],__module__:[17,3,1,""],__weakref__:[17,3,1,""],create_network:[17,4,1,""]},"WORC.tools.Slicer":{Slicer:[17,2,1,""]},"WORC.tools.Slicer.Slicer":{__dict__:[17,3,1,""],__init__:[17,4,1,""],__module__:[17,3,1,""],__weakref__:[17,3,1,""],create_network:[17,4,1,""],execute:[17,4,1,""],set:[17,4,1,""]},"WORC.tools.Transformix":{Transformix:[17,2,1,""]},"WORC.tools.Transformix.Transformix":{__dict__:[17,3,1,""],__init__:[17,4,1,""],__module__:[17,3,1,""],__weakref__:[17,3,1,""],create_network:[17,4,1,""],execute:[17,4,1,""]},"WORC.tools.createfixedsplits":{createfixedsplits:[17,1,1,""]},"WORC.validators":{preflightcheck:[18,0,0,"-"]},"WORC.validators.preflightcheck":{AbstractValidator:[18,2,1,""],EvaluateValidator:[18,2,1,""],InvalidLabelsValidator:[18,2,1,""],MinSubjectsValidator:[18,2,1,""],SamplesWarning:[18,2,1,""],SimpleValidator:[18,2,1,""],ValidatorsFactory:[18,2,1,""]},"WORC.validators.preflightcheck.AbstractValidator":{__abstractmethods__:[18,3,1,""],__dict__:[18,3,1,""],__module__:[18,3,1,""],__weakref__:[18,3,1,""],do_validation:[18,4,1,""]},"WORC.validators.preflightcheck.EvaluateValidator":{__abstractmethods__:[18,3,1,""],__module__:[18,3,1,""]},"WORC.validators.preflightcheck.InvalidLabelsValidator":{__abstractmethods__:[18,3,1,""],__module__:[18,3,1,""]},"WORC.validators.preflightcheck.MinSubjectsValidator":{__abstractmethods__:[18,3,1,""],__module__:[18,3,1,""]},"WORC.validators.preflightcheck.SamplesWarning":{__abstractmethods__:[18,3,1,""],__module__:[18,3,1,""]},"WORC.validators.preflightcheck.SimpleValidator":{__abstractmethods__:[18,3,1,""],__module__:[18,3,1,""]},"WORC.validators.preflightcheck.ValidatorsFactory":{__dict__:[18,3,1,""],__module__:[18,3,1,""],__weakref__:[18,3,1,""],factor_validators:[18,6,1,""]},WORC:{WORC:[0,0,0,"-"],__init__:[0,0,0,"-"],addexceptions:[0,0,0,"-"],classification:[2,0,0,"-"],facade:[6,0,0,"-"],featureprocessing:[9,0,0,"-"],plotting:[10,0,0,"-"]}},objnames:{"0":["py","module","Python module"],"1":["py","function","Python function"],"2":["py","class","Python class"],"3":["py","attribute","Python attribute"],"4":["py","method","Python method"],"5":["py","exception","Python exception"],"6":["py","staticmethod","Python static method"]},objtypes:{"0":"py:module","1":"py:function","2":"py:class","3":"py:attribute","4":"py:method","5":"py:exception","6":"py:staticmethod"},terms:{"0284186x":9,"06875v1":9,"0a1":66,"0rc1":59,"105741d":59,"1st":2,"1x1x1":[50,60,62],"22nd":70,"2nd":[2,66],"5th":9,"95th":9,"95varianc":[33,34,62],"98nd":66,"boolean":[0,1,2,6,9,10,11,19,25,31,33,39,43,47,51,52,57,59,61,62],"case":[2,11,24,61,62,64,66,70],"catch":[0,61],"class":[0,2,4,6,7,9,15,17,18,59,61,64,70],"default":[0,1,2,6,9,10,11,17,19,21,22,23,25,27,28,29,31,33,35,37,39,41,43,45,47,49,51,53,55,57,60,61,62,64,66,69,70],"export":68,"final":[2,9,11,62,70],"float":[2,9,10,11,15,21,25,33,39,41,42,49,51,53,61,62,66],"function":[0,2,4,6,7,9,10,11,16,17,18,22,50,59,61,62,63,64,65,66,67,69,70],"gr\u00fcnhagen":59,"import":[2,9,34,59,61,62,68,70],"int":[2,9,11],"long":66,"new":[0,59,61,66,68],"return":[0,1,2,9,10,11,15,61,64],"short":66,"static":[18,42,62],"switch":[9,11,61],"throw":[61,66],"true":[0,2,5,6,9,10,11,21,26,29,32,33,37,38,40,41,43,44,48,49,50,51,55,57,58,60,62,69,70],"try":[2,60,68],"while":[2,11,40,61,62,66],Added:59,Adding:59,Age:69,And:9,Els:59,For:[0,2,6,9,22,42,48,59,60,61,62,63,64,65,66,68,69,70],IDs:[11,65],Not:[2,6,61,68],One:[2,54,61,62],PCs:[22,62],SVs:[],That:9,The:[0,1,2,6,9,10,11,15,26,34,46,59,60,61,62,63,64,65,66,67,68],Then:2,There:[61,69,70],These:[10,62,64,66,69,70],USING:59,Use:[2,6,19,20,22,27,28,31,32,47,48,53,54,61,62,66,69],Using:[59,68],Vos:59,Was:61,Will:6,With:59,__abstractmethods__:[2,4,9,18],__dict__:[0,2,4,6,7,9,11,17,18],__doc__:[0,2,4,6,7,9,11,17,18],__file__:69,__init__:[0,2,4,6,7,9,11,17],__iter__:[2,11],__len__:2,__module__:[0,2,4,6,7,9,11,17,18],__weakref__:[0,2,4,6,7,9,11,17,18],_abc_data:[4,18],_abc_impl:[4,18],_base:9,_cluster_config_overrid:7,_data:9,_debug_config_overrid:7,_format_result:2,_generate_detector_messag:[4,18],_is_detect:4,_set_and_validate_estim:6,_valid:[6,18],abbrevi:[22,62],abc:[4,18],about:66,abov:[2,9,60,61,62,66,68,69,70],absolut:61,abspath:69,abstractdetector:4,abstractvalid:18,accept:[2,39,61,62],accorad:2,accord:[2,9,10,66,69,70],accordingli:[60,69],account:[9,10,70],accur:[2,4,7,9,11,17],accuraci:[2,10,70],acquisit:68,across:2,act:62,actual:[0,2,6,30,59,60,61,62,63,64,68,70],adaboost:[22,61,62],adaboost_learning_r:[21,22,62],adaboost_n_estim:[21,22,62],adaboostclassifi:[21,62],adaboostregressor:[21,62],adapt:[59,68],adasyn:[2,53,61,62],add:[0,2,6,9,17,61,64,65,66,67,69,70],add_combat:0,add_config_overrid:6,add_elastix:0,add_elastix_sourcesandsink:0,add_evalu:[0,6,69,70],add_feature_calcul:[0,64],add_parameters_to_grid:2,add_preprocess:0,add_segmentix:0,add_tool:0,addchangeord:17,added:[9,17,24,61,62,64,70],addexcept:59,addinf:61,adding:[2,17,62,64,69,70],addit:[0,6,38,59,61,62,66,69,70],addition:[1,9,10,61,62,70],address:59,adequ:64,adher:61,adjust:[2,10,61,62,70],adopt:[2,15,54,61,62],advanc:[59,69,70],advancedsampl:[0,59],advantag:62,advic:[52,60,62,64,69,70],affect:2,affin:17,after:[0,2,9,38,60,61,62,64,65,66,69,70],afterward:[6,9],again:[62,66,68,69],age:[41,62,66,70],agesex:10,aggreg:66,agument:11,aim:59,aka:70,alejandro:66,alex:66,algorithm:[15,60,61,62,68],align:70,all:[0,1,2,6,9,10,11,21,24,38,40,44,48,53,57,58,60,61,62,63,64,65,66,68,69,70],allign:70,allow:[2,6,61,65,66,67],allow_non:2,along:[9,68],alpha:10,alpha_new:[],alpha_old:[],alreadi:[60,62,68,70],als:70,also:[0,2,6,9,34,54,59,60,61,62,64,65,66,68,69,70],alter:[2,11,61,62,66],altern:[65,70],although:68,altner:65,alwai:[2,9,61,68,69,70],among:[2,9,10,59,62],amount:[66,68],anaconda:[65,69],analys:69,analysi:[34,59,62,66,70],analyticsvidhya:62,angl:[42,62,66],angu:59,angular:66,ani:[2,9,10,21,39,48,61,62,65,66,68,69,70],annual:59,anoth:[11,60,68,70],anova:2,any_structur:[],anymor:61,anyth:68,anywai:9,apach:59,api:[54,60,62],appear:66,append:[61,62,65,70],appendix:[],appli:[0,2,6,9,11,38,50,60,61,62,66,68],applic:[11,59,66,68],approach:[9,59,62,68],appropri:0,arbitrari:66,area:[15,66,70],arg:[1,2,4,11,15,18],argmax:10,argu:66,argument:[0,1,2,11,61,64,65],arif:59,around:[2,6,17,56,60,62,64,70],arrai:[1,2,9,10,11,15,59],artefact:66,articl:[15,59,66],arxiv:[9,59],asm:66,aspect:66,assertionerror:0,assess:[6,9,61],assign:[2,40,42,62],assist:[59,66],associ:2,assum:[2,9,50,60,62,65,68,69,70],assumesameimageandmaskmetadata:[11,37,38,62],assumpt:[2,38,62,70],attribut:[0,2,4,6,7,9,11,17,18,59,61],atyp:70,auc:[2,15,70],author:15,auto:[2,53,62],autom:59,automat:[0,6,11,40,59,60,61,62,66,68,69],avail:[2,6,61,63,68],averag:[10,61],average_precision_weight:[39,62],avoid:[2,60,66],awai:66,axes:66,axi:[9,10,50,62,66],axial:[10,11,49,50,51,56,60,61,62,66],back:[61,65],backend:[38,61,62],backward:61,balanc:70,band:[6,70],bangma:59,barchart:[10,61,70],base:[0,2,4,5,6,7,9,10,11,17,18,34,50,59,61,62,66,70],baseestim:[2,9],baselin:68,basesearchcv:2,basesearchcvfastr:2,basesearchcvjoblib:2,basestr:6,basi:70,basic:[64,66,68,70],basicworc:[0,59,61,65,69,70],batch:[9,23,24,60,62],bay:[24,62],bbox_2d:10,bca:70,been:[0,9,10,59,66,68,69],befor:[0,2,6,9,42,60,61,62,65,66,68,69],beforehand:66,begin:[59,61],beginn:59,behavior:2,behaviour:61,being:[15,50,62],belong:[0,2,9],below:[0,2,34,48,60,62,65,66,68,69,70],benefit:[60,66,68],bengio:70,benign:59,bent:59,berlin:66,besid:[0,59,62,70],best:[2,10,61,62,63,68],best_estim:2,best_estimator_:2,best_index_:2,best_params_:2,best_score_:2,beta:2,better:61,between:[2,9,17,21,22,34,42,59,61,62,66],bia:[11,50,60,61,62],bias_correct_imag:11,biascorrect:[49,50,62],biascorrection_mask:[49,50,62],big:61,bigr:[6,40,59,62,69],bigr_erasmusmc:2,bigrclusterdetector:4,bin:[52,59,62,64],binari:[2,6,9,10,11,59,61,69],binaru:69,binary_classif:[0,6,17,69],binaryimag:11,bincount:[51,52,62],binwidth:[51,52,62],bio:59,biomark:[59,66,68],biomed:59,bit:61,bitbucket:2,bitwise_xor:61,black:59,blazev:59,blob:[11,56,60,62,64],block:69,blog:62,bme:59,bmia:69,boht:66,bonferonni:9,book:59,bool:2,boolean_uniform:2,boost:[22,61,62],boostrap:61,bootstrap:[3,10,20,59,61,70],bootstrap_metr:10,bootstrap_n:10,border:60,borderlinesmot:[2,53,62],both:[2,10,59,60,61,62,64,66,68,70],bound:[11,17],boundari:[9,10,11,34,42,62],box:[17,59,62],boxplot:[10,61],braband:59,braf:59,branch:[0,22,62],breviti:69,british:59,broad:66,brought:68,bug:61,bugfix:61,buggi:61,build:[0,17,59,61,68,69,70],build_config:7,build_train:0,built:69,buisman:59,bulletin:9,busy:66,button:59,c_valu:[],cache_s:2,cad:2,caddementia:2,calc_pvalu:15,calcfeat_nod:0,calcfeatur:[37,61,62],calcfeatures_test:[0,12],calcul:[0,2,9,10,38,62,64],call:[2,61,64,66,69,70],callabl:2,can:[0,2,6,9,10,11,17,34,38,42,44,50,59,60,61,62,64,66,68,69,70],cancer:[59,66],candid:2,cannot:[2,59,60,61],captur:60,carcinoma:59,cardin:61,cartesiu:[6,69],cartesiusclusterdetector:4,caruana:[2,10],cash:[62,68],cast:61,castillo:59,categor:[9,61],categori:70,caught:6,center:[59,66],centr:66,certain:[2,6,17,60,61,62,66,70],cf_:9,cf_pyradiom:[37,62],challeg:2,challeng:[2,70],chang:[6,59,60,62,64,66,69],changelog:59,chapter:[6,59,60,62,63,65,66,67,69,70],characterist:[10,15,70],check:[2,6,11,48,50,60,61,62,64,70],check_image_orient:11,check_multimetric_scor:2,check_scor:2,checkorient:[49,50,62],checkspac:[49,50,62],chi2:61,child:[22,62],choic:[2,59,68],choos:[2,50,61,62],chosen:[2,62,66],chunk:2,chunksdict:2,circular:66,class_i:2,class_j:2,class_weight:2,classfic:[40,62],classif:[0,3,6,22,46,61,64,65,66,69,70],classifi:[0,2,10,21,22,32,59,61,62,65,70],classifier_data:2,classifiermixin:[],classpi:2,clean:[54,61,62],clf:2,clinic:68,clip:[11,49,50,60,61,62],clip_imag:11,clipping_rang:[49,50,62],clone:69,closest:[],cluster:[2,6,22,40,59,61,62,68,69],cnb_alpha:[21,22,62],coars:[6,66,69],coarse_overrid:7,code:[60,62,69],coef0:2,coeffici:[9,70],col:[22,62],coliag:[41,42,58,62],coliage_featur:[9,57,58,62],coliage_features_:9,collabor:59,colleagu:68,color:10,colorect:59,column:[2,6,9,59,66,70],com:[6,9,15,38,59,62,64,65,66,69,70],combat:[0,3,16,24,37,38,59,61],combatharmon:[9,38,62],combatmatlab:9,combatpython:9,combin:[1,2,9,10,24,31,32,59,61,62,63,66,68,70],combine_featur:1,combine_method:[1,31,32,62],combine_multiple_estim:10,comma:[2,9,21,23,35,36,41,62],command:[0,2,9,17,59,61,62,64,65,68,69],common:[2,6],commonli:66,commun:69,compact:66,compar:[15,68],comparison:[59,66],compat:[1,7,9,11,60,61,64],complement_label_1:69,complementari:66,complementnb:[22,62],complementnd:[21,62],complet:[61,62,69,70],complex:[66,70],compon:[9,17,34,60,62,68,70],comprehens:[60,63,66],comput:[0,2,6,9,10,15,16,42,52,59,60,61,62,66,68,69,70],compute_ci:[0,59],compute_confid:10,compute_confidence_bootstrap:10,compute_confidence_logit:10,compute_ground_truth_statist:15,compute_midrank:15,compute_midrank_weight:15,compute_statist:10,concept:[59,68],concern:68,concord:70,conda:65,condit:65,conduct:[2,61,70],confer:[59,66,70],conffid:61,confid:[6,10,61,70],config:[0,1,2,6,7,9,10,11,17,22,34,60,61,62,63,64,65,66,69,70],config_file_path:[1,11],config_io_classifi:[0,59,64],config_io_combat:[0,59],config_io_pyradiom:[0,59],config_preprocess:[0,59],config_segmentix:[0,59],config_worc:[0,59],configbuild:[0,6,61],configpars:[0,11,62],configur:[0,1,2,6,9,59,60,61,64,65,67,69,70],confipars:1,congress:59,congruenc:66,connect:59,consist:[2,39,40,62,69,70],consol:7,constant:[9,43,62,68],construct:[2,6,10,59,69],construct_classifi:[0,59],construct_svm:2,consumpt:2,contain:[0,1,2,6,9,10,11,36,61,62,65,66,69,70],containingfor:2,content:[7,11,59,66],continu:[2,61,69],contour:[10,11,56,60,62],contrast:[2,66],contribut:59,control:2,converg:[10,61],convers:61,convert:[1,7,9,61,64,66],convert_config_pyradiom:1,convert_features_icc_threshold:9,convert_predict:9,convert_pyradiom:9,convert_pyradiomics_featurevector:9,convert_radiomix_featur:7,convex:66,copi:[0,2,9,11,38,59,60,61,62,64],copymetadata:0,core:[2,6,38,40,61,62,66,69],coron:[51,62],correct:[11,24,50,60,61,62,70],correctli:[10,61,65,70],correl:[9,15,66,68,70],correspond:[2,9,10,40,52,61,62,65,66,70],cost:[],could:[61,65,66,68],count:[6,52,62,66],count_num_subject:6,count_paramet:10,coupl:70,cours:70,covari:15,cox:70,cpu:2,crash:[59,61,69],creat:[0,2,5,6,10,17,61,62,65,66,68,69,70],creata:2,create_bbox:17,create_ensembl:[2,61],create_example_data:[0,59,70],create_links_addon:17,create_links_standalon:17,create_network:[13,17],create_param_grid:2,create_random_featur:5,create_sourc:62,createfixedsplit:[0,59],creation:[59,61,66],criteria:59,criterion:2,crop:68,cross:[0,2,10,17,26,38,40,61,62,70],cross_valid:[37,38,62],crossval:[0,59],crossval_typ:10,crossvalid:[3,59],csv:[6,9,10,61,69,70],csv_file_path:4,csv_out:9,csvdetector:4,ct001:0,ct002:0,cto:59,current:[0,2,9,11,26,32,50,59,60,61,62,65,68,70],curv:[6,10,15,61,70],curve_threshold:10,custom:[2,51,52,62],custom_config_overrid:7,cv_iter:2,cv_results_:2,cyan:10,dai:65,dat:9,data:[0,2,9,10,11,16,26,59,60,61,62,65,66,68,69],data_path:69,datadir:69,datadownload:[0,59,61,69],datafil:61,datafold:[5,69],datafram:[2,10],dataset:[0,2,6,30,38,40,59,60,61,62,68,69,70],datatyp:[61,64,67],datayp:61,dcm:11,deal:[60,61],debug:[10,38,59,61,62,69],debugdetector:4,decent:68,decid:[66,68],decision_funct:2,decision_function_shap:2,decod:66,decomposit:[0,6,59,61,70],decompositon:61,default_queu:65,default_scor:2,defaultconfig:[0,7,62,64,70],defin:[0,2,4,6,7,9,11,17,18,34,56,62,63,64,66,68,69,70],definit:[9,59,66],degre:[2,22,42,62,66],del:69,delai:2,delet:[2,59,61,64],delete_cc_para:2,delete_nonestimator_paramet:2,delong:[0,59],delong_roc_test:15,delong_roc_vari:15,demand:2,dementia:2,demo_param:[],demonst:[],den:59,depend:[0,2,10,59,61,65,68,70],deprec:61,depth:[22,62],der:59,describ:[0,63,66,67,70],descript:[2,9,20,22,24,26,28,30,32,34,36,38,40,42,44,46,48,50,52,54,56,58,60,62,64,66,69],descriptor:66,design:68,desmoid:59,despit:59,detail:[6,10,11,60,62,65,66,70],detect:[9,61,65,66],detector:[0,6,59,61,69],determin:[1,2,6,10,11,20,28,32,34,36,38,42,44,46,48,50,52,56,59,61,62,66,68,69,70],determinist:2,develop:[2,66,68],developp:61,deviat:[9,42,62,66],df_:9,diagnosi:59,diagnost:59,diamet:66,dicom:[0,41,42,50,58,59,60,61,62,70],dicom_featur:[9,57,58,61,62],dicom_feature_label:[41,42,62,66],dicom_feature_tag:[41,42,62,66],dict:[0,1,2,9,11],dictionari:[0,1,2,6,10,11,61,62,65,70],did:[61,64,68,70],didn:61,differ:[2,10,11,15,59,60,61,68],differenti:59,difficult:68,difscal:9,digit:66,dilat:[11,50,55,56,60,61,62,70],dilate_contour:11,dilate_roi:11,dimens:66,dimension:68,direct:[61,66],directli:[6,61,66,68,69,70],directori:[0,6,62,69],dirnam:69,disabl:[52,61,62],disc:[50,56,62],discret:[42,62,66],discrete_uniform:2,discrimin:59,discuss:[60,66,70],dispatch:2,dissimilar:66,distanc:[9,34,42,62,66],distance_p:9,distinguish:[2,59,70],distribut:[2,61,64,69,70],distrubit:2,divers:68,divid:68,do_detect:4,do_test_rs_ensembl:2,do_valid:18,doc:64,docstr:[69,70],doctest:2,document:[2,6,9,60,61,63,65,69,70],doe:[2,9,61,62,65,66],doi:9,doing:[2,62],don:69,done:[0,2,60,61,62,63,64,65,66,68,70],down:61,download:[61,69],download_headandneck:[5,69],download_project:5,download_subject:5,dpi:10,draw_network:70,drawback:66,drawn:[2,40,62],drmaa:[40,62],drmaaplugin:65,drop:61,drug:66,dti:61,dtrf:59,due:[2,61,68],dummi:[61,65],dure:[2,40,61,62,65],dwarkas:59,e104:66,e107:66,each:[2,6,9,10,11,42,61,62,65,66,68,69,70],earlier:[66,69],easi:[59,68],easier:[61,68,70],easili:[61,62,68,69,70],echo:66,ecr:59,edg:[42,62,66],edit:[69,70],editelastixtransformfil:61,edwardo:2,effect:59,effici:[2,61,66],effort:68,efron:70,eigen:[21,62],either:[0,2,9,10,24,34,62,69,70],ejrad:[],elasticnet:[21,22,61,62],elasticnet_alpha:[21,22,62],elasticnet_l1_ratio:[21,22,62],elastix4:[37,62],elastix:[0,37,59,61,62,70],elastix_para:0,elastix_test:[0,12],electr:66,element:[9,34,50,62,70],elif:[65,69],ellip:66,ellipsi:2,ellipt:66,elong:66,els:[64,65],emb:64,embed:[60,61,63],emper:[24,62],emphasi:66,empir:70,emploi:2,empti:2,emptygraylevel:65,enabl:[2,6,52,62],encod:[2,48,62],end:[59,64,65],energi:66,engin:[2,59,68],enhanc:66,enough:2,ensembl:[2,3,10,17,28,40,59,61,68],ensemble_scor:10,ensur:0,enter:[2,11],entir:2,entri:59,entropi:66,environ:65,epsilon_insensit:[21,62],equal:[2,9,22,24,28,50,62,66],erasmu:68,error:[2,6,10,16,59,61,66,69,70],error_scor:2,especi:[2,38,59,61,62],establish:[59,66],estim:[2,6,7,10,17,21,22,28,34,40,61,62],estimator_input:2,estimator_scoring_overrid:7,estsiz:10,etc:[2,9,10,59],etcetera:69,european:59,eusomii:59,evalu:[0,2,3,6,10,30,40,59,61,69],evaluatevalid:18,even:66,everi:[38,62,68],everywher:64,exact:2,exactli:[65,69],exampl:[0,2,6,10,11,15,16,17,48,59,61,62,65,66,68,69],example_stwstrategyhn:69,exampledata:[0,59,69,70],examplefil:69,excel:[66,70],except:[0,6,61],exclud:[9,24,32,34,62],excluded_featur:[23,24,62],exclus:69,exctract:66,exe:[23,62],execut:[0,2,6,16,17,21,22,24,59,61,62,64,68,69],execute_first:7,executionplugin:65,exhaust:2,exist:[17,61,68],exp:[],exp_uniform:2,expand:[10,61,66],expect:[65,68,69],expected_hostnam:4,experi:[2,6,16,59,61,66,70],experiment:[30,62],experiment_fold:69,experiment_nam:69,expert:66,explain:[34,62,65],explant:66,explicit:2,explor:[2,69],explos:2,expon:[2,22,62],express:2,extens:[61,68,69],extrac:60,extract:[1,2,6,9,10,11,42,52,56,59,60,61,62,65,68,70],extract_boundari:10,extract_firstord:[51,52,62],extract_shap:[51,52,62],extractnlargestblobsn:[0,59],extractor:[51,52,62],extrat:11,f1_score:61,f1_weight:[2,6,39,62],f1_weighted_predictproba:[2,39,62],f6d255a45dd:62,facad:[0,7,59,61,69,70],facilit:[59,68],factor_valid:18,fail:61,fals:[1,2,5,9,10,11,17,19,21,22,25,29,31,37,39,41,44,47,49,50,51,55,57,59,62,69],familiar:68,fancyimput:9,faq:[59,61],fashion:69,fast:[2,15,59],fastdelong:15,fastr3:61,fastr:[0,2,6,17,21,22,40,59,61,62,64,65,69,70],fastr_plugin:[0,2,17,21,22,62],fastr_tempdir:[0,62],fastr_test:[0,12],fastr_tool:[0,12],fastrconfig:[0,59,62,70],fastrhom:62,fat:66,fator:2,fatsat:66,fault:61,feat:1,feat_in:9,feat_out:9,feat_out_0:59,feat_test:2,feat_train:2,featpreprocess:[3,59],featsel:[3,59,65],featur:[0,1,2,5,6,7,9,10,11,16,17,24,32,34,36,38,42,44,48,51,52,58,59,60,61,62,68,69],feature:65,feature_dict:65,feature_fil:[6,69],feature_file_nam:6,feature_label:[2,9,10,65,69],feature_label_1:[],feature_label_2:[],feature_labels_tofit:[9,47,48,62],feature_select:[9,34,61,62],feature_set:9,feature_valu:[2,9,65,69],featurecalcul:[37,38,62,64],featureconvert:[0,59,64],featurefil:[1,10],featurefile_p1:69,featurenam:10,featureprocess:[0,59,64,65],features_:69,features_from_radiomix_xlsx:6,features_from_this_directori:[6,65,69],features_in:9,features_mod1_patient1:1,features_mod1_patient2:1,features_mod2_patient1:1,features_mod2_patient2:1,features_out:9,features_p1:69,features_test:70,features_test_in:9,features_test_out:9,features_train:[65,70],features_train_in:9,features_train_out:9,featuresc:[3,59],featuresdatadir:[65,69],featurespatient1:65,featurespatient2:65,featurevector:9,feel:[68,69],fellow:68,felt:68,fetur:[11,66],few:68,fewer:66,fibromatosi:59,fibrosi:59,fiduzi:59,field:[1,2,9,11,36,48,60,61,62,64,66,68,69],fig:10,figsiz:10,figur:[10,61,68],figwidth:10,fij:9,file1:[2,9],file2:[2,9],file3:[2,9],file:[0,1,2,5,6,9,10,11,46,59,60,61,62,64,66,69],file_io:[0,59,61],file_path:6,filenam:[10,11,65,70],filepath:[10,61],filesmatlabr2015bbinmatlab:[23,62],filesystem:61,fill:[56,60,62],fill_valu:9,fillhol:[55,56,62],filter:[42,59,62,68],finalbsplineinterpolationord:61,find:[2,16,59,61,63,65,68,69],find_exampledatadir:16,find_testdatadir:16,findlabeldata:11,first:[6,9,10,15,34,52,59,61,62,66,68,69,70],fit:[2,9,30,40,61,62,63,64,66,70],fit_and_scor:[2,63,64],fit_param:2,fit_threshold:10,fit_tim:2,fitandscor:[0,59,61,63,64],fitfailedwarn:2,fittd:2,fitted_workflow:2,five:[64,68],fix:[2,10,17,26,34,52,59,62,65,68,70],fixandscor:61,fixed_se:[2,25,26,62],fixed_splits_csv:6,fixedsplit:2,flag:61,flat:66,flatten:[10,61],flatten_object:10,fleiss:9,flexibl:[61,68],flip:[10,66],fluctuat:66,focu:70,focuss:70,fold:2,folder:[2,7,10,16,61,62,64,65,69,70],follow:[2,9,10,59,60,62,64,65,66,68,69,70],fontsiz:[9,10],force2d:[51,52,62],force2ddimens:[51,52,62],foremost:66,foresight:68,forest:[34,62],fork:65,form:66,format:[0,1,2,5,6,7,9,10,11,59,60,61,62,64,70],formula:2,forward:68,found:[2,59,61,62,68,69,70],foundat:59,four:68,fpr:10,fracf_:9,fractal:[58,61,62],fractal_featur:[9,57,58,62],framework:[59,61,68],frangi:[42,62,66],free:69,freeli:70,frequenc:[42,62,66],frequent:9,from:[0,1,2,6,7,9,10,11,15,21,24,38,40,42,46,56,59,60,61,62,64,65,66,68,69,70],frozenset:[2,4,9,18],fulfil:2,full:[6,7,10,11,38,49,50,59,60,61,62,69],fulli:[6,59,61],fullprint:7,fun:68,function_bas:59,funtion:9,further:61,furthermor:66,futur:61,gabor:[9,42,58,59,61,62],gabor_angl:[41,42,62,66],gabor_frequ:[41,42,62,66],gamma:[2,22,62],garcia:2,gastrointestin:59,gather:10,gaussian:[52,59,62],gaussiannb:[21,62],gave:[2,61],gclm:[48,62,66],gener:[0,2,3,6,9,10,21,22,27,34,50,59,60,61,64,65,66,68,70],generalis:59,generaliz:59,generate_config:64,generate_feature_boxplot:10,generate_performance_boxplot:10,genet:[11,70],geometrytoler:[51,52,62],get:[2,10,11,59,68,69,70],get_r:11,getparametermap:17,gibhub:59,git:69,github:[1,2,6,9,10,11,15,38,59,61,62,64,65,69,70],give:[2,48,60,61,62,65,66,68,69,70],given:[0,2,6,9,10,40,42,59,61,62,64,66,69,70],glcm:[42,48,52,58,59,62,65],glcm_:9,glcm_angl:[41,42,62,66],glcm_distanc:[41,42,62,66],glcm_level:[41,42,62,66],glcmm:66,glcmms_:9,gldm:[52,58,59,62,65],gldzm:[58,61,62],gldzm_:9,glob:[6,69],glrlm:[42,52,58,59,62,65],glrlm_:9,glszm:[42,52,58,59,62,65],glszm_:9,gmean:[39,62],going:68,good:70,grade:59,grahpviz:61,grai:59,grand:2,graphviz:61,grayscal:[42,62],grid:[2,40,62],grid_scor:61,gridsearch:[22,62],gridsearchcv:2,gridsearchcvfastr:2,gridsearchcvjoblib:2,griethuysen:66,grlm:66,ground:[10,70],ground_truth:15,groundtruth:2,group:[2,9,34,61,62,65,66,68,70],groupsel:[2,64],groupwis:[2,61,65,66,70],groupwisesearch:[33,34,62,65],growth:59,gsout:2,guarante:2,guid:[2,59,62,65],guidelin:70,hack:65,had:[61,68],haibo:2,halton:2,haltonsampl:2,hand:68,handbook:59,handl:[9,61],handle_unknown:9,hanff:59,happen:66,harmon:[0,9,16,38,59,60,61,62],has:[0,2,6,9,50,59,62,65,66,68],have:[0,2,9,10,11,34,38,59,60,61,62,64,65,66,68,69,70],hdf5:[1,2,6,7,9,10,59,69,70],head:[69,70],header:[0,2,6,66,70],heidelberg:66,held:2,help:[2,4,7,9,11,17,61,70],helper:[0,6,59],henc:[2,6,9,10,60,61,62,64,66,68,70],hepatocellular:59,herder:59,here:[2,60,62,63,64,66,69,70],hf_:9,hf_mean:9,high:[59,66,68,69],higher:2,highest:2,highli:[2,68],highlight:[51,52,62],hing:[21,62],histogram:[2,41,42,58,59,62],histogram_featur:[9,57,58,62],histopatholog:59,histori:68,hofland:59,hold:[0,2],hole:[56,60,62],home:61,homogen:[22,62,66],hope:59,horribl:69,hospit:[23,62],host:59,hostnamedetector:4,hot:[48,62],hounsfield:62,how:[1,2,10,11,28,42,56,61,62,64,65,66,68,69,70],howev:[2,60,62,64,66,68,70],htm:62,html:[0,9,21,22,34,42,51,52,60,62],http:[0,2,6,9,15,21,22,34,38,42,51,52,54,59,60,62,64,65,69,70],huber:[21,62],hyper:[2,62],hyperoptim:[3,28,40,59,60,61],hyperparamat:2,hyperparamet:[2,10,40,61,62,63,66,68],hypothes:66,hypothesi:15,i_max:10,i_min:10,icc:[2,9,16,61,70],icc_anova:2,iccthreshold:[0,59],icctyp:[2,9],idea:[68,70],ident:2,identifi:[6,69],ids:[2,11],ieee:[2,15,59,66],ignor:[9,62],iid:2,iivarinen:66,illustr:68,imag:[0,2,6,10,11,17,38,42,50,52,59,61,62,65,68,69],image_featur:[2,9,10,65],image_features_test:2,image_features_train:2,image_file_nam:[6,69],image_mr:70,image_typ:[41,42,62],imagedatadir:69,imagefeatur:[3,59,66,70],imagefil:11,images1:70,images_from_this_directori:[6,69],images_test:70,images_train:[0,6,70],imagetyp:62,imaginary_label_1:69,imbalanc:[2,54,61,62],img2:10,img:[10,11],immedi:2,implement:[0,2,6,9,11,15,22,24,62,68,70],implicitli:68,imposs:2,improv:[2,66],imput:[0,2,3,44,59,61,64,68],imputat:2,incekara:59,includ:[0,2,6,11,28,32,60,61,62,64,65,66,68,69,70],incompat:[52,62],incorpor:61,incorrect:[50,61,62],incorrectli:[10,61,70],increas:[2,40,61,62],inde:66,independ:[68,70],index:[2,9,10,59,62,65,66,70],indexerror:[0,59],indic:[2,11],individu:2,ineffici:68,infer:[0,40,59,62,70],infinit:61,influenc:66,info:[6,62,65],inform:[2,9,10,38,59,62,64,66,69,70],informat:59,ini:[0,1,2,9,11,61,62,64],init:[9,64],init_adasyn:2,init_borderlinesmot:2,init_nearmiss:2,init_neighbourhoodcleaningrul:2,init_randomoversampl:2,init_randomundersampl:2,init_smot:2,init_smoteenn:2,init_smotetomek:2,initi:[0,2,4,6,7,9,11,17,61,66],inner:[42,60,62,66],input:[0,2,6,9,10,11,17,59,61,62,64,65,68],input_fil:[7,11],inputarrai:9,inset:61,insight:70,inspect:61,instal:[59,60,61,62],instanc:[0,2],instanti:2,instead:[2,52,59,60,61,62,66,69,70],integ:[2,6,9,10,11,19,21,25,27,28,33,37,39,40,41,42,43,44,49,51,52,53,55,59,61,62],integr:[59,61,68],intellig:66,intens:[11,50,52,60,62,66],inter:[2,9],interact:[6,59,61,69],interest:[6,66],interfac:2,intermed:10,intermedi:2,intermediatefacad:61,intern:[59,66,70],interpol:[11,51,52,62],interpret:[64,68],interquartil:66,interv:[6,10,61,70],intervent:[59,66],intra:[2,9],intraclass:[9,70],introduc:69,introduct:[59,69],introductori:68,invalidcsvfileexcept:7,invalidlabelsvalid:18,invalidorderexcept:7,invari:66,inverse_transform:2,involv:2,ioerror:0,iopars:[0,2,59,64],ioplugin:0,iri:2,is_empti:[],is_multimetr:2,is_train:6,isbi:59,isi:70,isn:61,issu:[59,61,65,68,69,70],item:[0,2,9,69],iter:[2,10,20,22,38,40,61,62,64,70],ith:[],itk:[0,11,61],itkimag:10,its:[2,68],itself:[66,68,70],jacob:66,jalv:59,jfortin1:[9,38,62],jiaj:66,job:[2,6,40,59,61,62],joblib:[2,22,38,61,62],joblib_backend:[37,38,62],joblib_ncor:[37,38,62],join:69,joost:66,joseph:9,journal:[15,59,66],json:[2,11,61,69],jth:[],jukka:66,just:[10,61,64,69,70],k_neighbor:[2,53,54,62],kapsa:59,keep:[2,11,59,61,68],kei:[2,3,41,61,62,65,70],kept:9,kernel:[2,22,62,70],kessel:59,keyerror:0,kfold:2,kind:[61,68],klein:59,knn:[9,43,44,61,62],knnimput:61,know:62,knowledg:2,known:66,kovesi:66,kurtosi:66,kwarg:[2,4,18],label1:[45,62,70],label2:[45,62,70],label:[0,1,2,3,6,9,10,11,15,24,46,48,51,52,59,60,61,66,68,69],label_1_count:15,label_data:[2,10,11],label_data_test:2,label_data_train:2,label_feature_1:65,label_feature_2:65,label_feature_3:65,label_feature_4:65,label_fil:[2,11,17,69],label_info:11,label_nam:[1,2,6,11,45,46,62,69],label_process:[0,59],label_s:[],label_set:9,label_statu:11,label_typ:[0,1,2,9,10,11,17,70],labelprocess:61,labels_from_this_fil:[6,59,69],labels_test:[9,70],labels_train:[9,70],lambda:[],lambda_tol:[],languag:[23,24,59,62,68],laplacian:[52,59,62],laptop:68,larg:[2,61,66,68],larger:[40,61,62,66],largest:[10,11,56,60,62,66],lasso:[2,21,33,34,62],last:[61,66,68],lastli:[50,62,64],later:[2,9,62,66],latest:[42,51,52,60,62],latex:61,latter:64,lbfg:[21,62],lbp:[42,58,59,62],lbp_:9,lbp_npoint:[41,42,62,66],lbp_radiu:[41,42,62,66],lda:[21,22,62],lda_shrinkag:[21,22,62],lda_solv:[21,22,62],lead:66,learn:[2,9,10,21,22,34,54,59,60,61,62,68,70],least:[2,65,66,68],leav:[26,61,62],led:61,leender:59,left:[2,61],length:[2,9,10,59],lengthi:69,lesion:[32,62,66],less:[61,62,66],let:69,letter:15,level:[42,51,52,59,62,70],lib:59,licens:59,lidc:59,lightweight:2,lij:9,like:[2,9,59,61,62,66,68,69],limit:70,line:[2,9,59,60,64,66,68,69],linear:[2,21,61,62,70],linear_model:[21,22,34,62],linearexecut:[6,17,21,62],link:[17,61,64,69,70],link_n4biasfieldcorrection_doc:60,linr:[21,62],linstretch:[0,59],lint:61,linux:61,linuxdetector:4,lipoma:59,liposarcoma:59,list:[0,1,2,4,6,7,9,10,11,17,18,21,23,35,36,38,41,42,44,47,58,62,65,70],literatu:9,literatur:[9,60,66],littl:[2,68],liver:[59,70],load:[1,11,42,62,69],load_config:[1,64],load_config_xnat:11,load_data:1,load_featur:[1,61],load_iri:2,load_label:11,load_label_csv:11,load_label_txt:11,load_label_xnat:11,loc:[2,21,22,33,43,53,54,62],local:[42,59,62],locat:[6,58,61,62,66,69],location_featur:[9,57,58,62],locf_:9,log10:15,log:[9,15,22,41,42,51,52,58,59,61,62,64,65,68],log_featur:[9,57,58,62],log_sigma:[41,42,62,66],log_uniform:2,log_z_scor:[35,62],logarithm:[9,61],logic:61,logist:[22,62],logisticregress:[21,22,34,61,62],logit:9,logstandardscal:9,longer:[61,62],loo:[25,26,61,62],loo_cross_valid:2,look:[6,9,59,60,62,63,64,66,68,69,70],loop:[2,65],loss:[2,22,62,66],lot:[52,62,66,68],low:[59,66],lower:[9,11,34,50,61,62],lowerbound:11,lr_l1_ratio:[21,22,62],lr_solver:[21,22,62],lrc:[21,22,62],lrpenalti:[21,22,62],lsqr:[21,62],luckili:68,lung:59,maarten:59,machin:[2,34,59,61,62,66,68,70],macskassi:70,made:[6,59,61,62,66,68,70],maenpaa:66,magnet:66,mai:[2,62,64,66,68,69],main:[6,10,13,16,60,61,69,70],major:[53,61,62,66],majorli:[6,61],make:[2,6,10,38,40,60,61,62,64,65,68,69,70],make_scatterplot:[],make_scor:2,malign:59,manag:[0,66],mandatori:[1,2,9,10,11],manhattan:61,manhattan_import:10,mani:[0,2,9,10,28,56,60,61,62,66,68,70],manipul:70,mann:70,mannwhitneyu:[9,33,62],manual:[2,6,39,59,60,61,62,65,66,68,69],manufactur:66,map:[2,10,70],mappingproxi:[0,2,4,6,7,9,11,17,18],mark:10,marku:66,martijn:59,mask:[0,2,6,10,11,38,50,52,55,56,60,61,62,68,69],mask_contour:11,mask_file_nam:6,masked_arrai:2,masks_from_this_directori:6,masks_test:70,masks_train:70,mass:66,master:[2,60,64,70],match:[1,11,61,62,70],matlab:[9,11,23,24,59,60,62,68],matplotlib2tikz:61,matplotlib:10,matrix:[2,9,59],matter:9,matti:66,max:[1,31,32,34,41,62,64,66],max_it:[2,21,22,62],maxim:2,maximum:[22,42,61,62,66],maxlen:[2,39,40,61,62],mean:[1,2,6,9,24,31,32,43,61,62,65,66,70],mean_fit_tim:2,mean_score_tim:2,mean_test_scor:2,mean_train_scor:2,measur:[2,6,66,70],median:[9,43,50,62,66],medic:[59,66,68],medicin:[59,66],meet:[6,59],melanoma:59,member:2,memori:[2,39,40,61,62,70],mention:66,mesenter:59,mesh:66,messag:[2,10,61],metadata:[0,11,38,50,60,61,62,66],metadata_fil:11,metadata_test:70,metadata_train:70,metaestimatormixin:2,metastas:59,method:[0,2,6,9,10,11,15,32,34,36,44,49,50,53,54,59,61,62,65,66,68,70],metion:9,metric1:10,metric1t:10,metric2:10,metric2t:10,metric:[0,9,10,27,28,39,40,59,61,62,70],mhd:[11,70],miccai:59,michael:66,miclea:59,micro:68,microsoft:69,middl:[0,10,70],midrank:15,mimic:11,min:[9,34,41,61,62,64,66],min_object_s:[55,56,62],mine:[59,60,65,68],minim:[2,42,62,69,70],minimum:[22,42,50,56,61,62,66],minkov:9,minm:[49,62],minmax:[9,35,61,62],minor:[53,61,62,66],minsubjectsvalid:18,mismatch:[38,62],miss:[2,9,61],missing_valu:9,missingpi:[9,61],mixtur:11,mod:[9,23,24,61,62,64],modal:[2,9,42,52,61,62,66,70],modalityname1:[2,9],modalityname2:[2,9],mode:6,model:[1,2,6,10,15,17,34,40,58,59,61,62,68,70],model_select:[2,9],moder:[24,60,62,66],modified_hub:[21,62],modnam:1,modu:[0,2,10,17,45,46,62,69],modul:[12,21,22,34,61,62,64,70],modular:59,modulenotfounderror:59,molecular:59,momentum:66,more:[2,6,9,10,11,36,38,40,59,60,61,62,64,65,66,68,69,70],moreov:68,morpholog:[11,66],most:[2,6,9,22,61,62,66,68,69],most_frequ:[9,43,62],mostli:[2,9,61,62,70],mount:[2,6,61,69],move:61,mr001:0,mr002:0,mri:[52,59,62,66],mse:70,mstarmans91:[6,59,64,65,69,70],much:[40,54,61,62,66,69],multi:[2,59,66],multi_class_auc:2,multi_class_auc_scor:2,multi_class_relief:9,multicentr:59,multiclass:[2,6,69,70],multiclass_classif:[6,69],multicor:[6,38,62],multihread:61,multilabel:[2,6,45,46,59,61,62],multilabel_typ:10,multimetric_grid_search:2,multimod:61,multipl:[0,2,9,10,32,38,60,61,62,66,68,69,70],multipli:[11,55,56,62],multiprocess:[37,62],multiresolut:66,multiscal:66,multislic:[42,58,62],multivendor:59,must:[2,59,62],mutat:59,mutlicor:2,mutual:69,mwu:9,mxn:[],n_1:10,n_2:10,n_blob:[55,56,62],n_classifi:15,n_compon:61,n_core:2,n_exampl:15,n_featur:[2,5,9,61],n_iter:[2,17,19,20,25,26,39,40,62],n_job:2,n_jobspercor:[2,39,40,62],n_jobsperscor:2,n_neighbor:[2,9,43,44,53,54,62],n_neighbour:9,n_neightbor:9,n_object:5,n_output:2,n_patient:9,n_sampl:[2,9,61],n_split:[2,39,40,61,62],n_splits_:2,n_test:10,n_train:10,nadeau:70,naiv:68,name:[0,2,6,9,10,11,17,22,24,36,42,48,57,58,59,61,62,66,69,70],name_of_label_predicted_for_evalu:70,nan:[2,9,32,44,61,62,66],ndarrai:2,nearest:[9,34,44,62],nearmiss:[53,62],neccesari:[61,64],neck:69,need:[2,6,9,59,61,62,64,66,68,69,70],needaccess:9,neg:[9,61,70],neg_dual_func:[],neighbor:[9,34,44,62],neighborhood:59,neighbour:[9,66],neighbourhoodcleaningrul:[2,53,62],net:9,nettyp:17,network:[0,13,17,59,61,62,64,68,69],neural:70,neurocombat:60,never:[30,60,62],new_spac:11,newest:61,newli:61,nework:0,next:[66,69,70],ngldm:[58,61,62],ngldm_:9,ngtdm:[42,52,58,59,61,62,65],ngtdm_:9,nice:[61,68],niessen:59,nifti:[61,70],nii:[0,6,11,69,70],nipyp:2,nmod:0,nocrossv:2,node:[0,17,32,61,62,68,70],nofeaturesfoundexcept:7,noimagesfoundexcept:7,nois:[24,62],nomasksfoundexcept:7,nomean:9,non:[2,6,9,24,61,62,66,68,70],none:[0,1,2,4,5,6,7,9,10,11,15,17,18,21,35,51,55,56,61,62,65],nonparametr:70,nor:59,norm_tol:[],normal:[2,6,10,11,49,50,51,52,60,61,62,65,66,68,70],normalization_factor:10,normalize_imag:[11,60],normalize_roi:[11,49,50,62],normalize_whitespac:2,normalizescal:[51,52,62],nosegmentationsfoundexcept:7,not_label:[],notabl:61,note:[0,2,6,9,10,11,61,62,66,68,69],notic:66,notimplementederror:0,now:[61,66],npoint:66,npv:[61,70],nrrd:[11,70],nsampl:10,nsubject:[5,69],num_class:[],num_train:[],number:[2,6,9,10,11,15,20,22,26,34,38,40,42,44,54,61,62,66,68,70],numbertoextract:11,numer:[2,9,70],numf:9,numpi:[2,9,10,11,15,59,61,66],obj:59,object:[0,1,2,4,6,7,9,10,11,17,18,22,32,54,56,59,60,61,62,64,65,69],objectsampl:[0,59,61],observ:[2,9],obsolet:[38,62],occur:[2,9,34,59,62,63,65,70],occurr:9,odd:66,oddfeat:9,oddpati:9,odink:59,oerat:15,of_:[9,23,62],off:[2,65,66,70],offer:[66,69],offici:59,often:[62,66,68,70],ojala:66,older:61,omit:69,onc:[2,11,60,61,66],oncolog:59,oncoradiom:[6,61],one:[0,2,6,9,10,11,26,36,48,50,61,62,64,65,66,68,69,70],onehotencod:[2,3,9,48,59,61],onehotencoderwrapp:[0,59],onevsrest:61,onevsrestclassifi:2,onli:[2,6,9,11,22,30,40,50,61,62,65,66,68,69,70],onlin:[68,69],ontolog:68,onward:2,open:[59,61,65,68,69],oper:[10,11,59,66,70],opim:2,optim:[0,2,22,40,60,61,62,63,66,70],optimiz:0,option:[0,1,2,6,9,10,11,19,21,22,23,25,27,29,31,32,33,35,37,39,41,43,45,47,49,51,53,55,57,60,61,62,64,65,66,69,70],order:[2,9,10,11,52,60,61,62,63,66,68],org:[2,9,21,22,34,62],organ:[66,68],orient:[11,41,42,50,58,59,60,61,62],orientation_featur:[9,57,58,62],orientationprimaryaxi:[49,50,62],origin:[2,51,52,58,60,61,62,66],original_featur:[9,57,58,62],oserror:0,other:[0,2,9,34,39,59,60,61,62,64,68,69,70],otherwis:[2,9,50,52,60,61,62],otsu:[11,49,50,61,62],our:[59,62,64,66,69,70],out:[2,10,11,26,61,62,68,69,70],outcom:[2,40,62,68,69],outer:[26,60,62,66],outlier:[9,61],output:[2,6,9,10,11,17,61,62,64,65,68,69,70],output_csv:[9,10],output_fold:7,output_hdf:2,output_itk:10,output_json:2,output_nam:10,output_name_zoom:10,output_png:[9,10],output_tex:[9,10],output_zip:10,outputfold:[2,10,69],over:[2,6,9,61,62,66,68],overal:[61,69],overfit:[30,60,61,62],overfit_scal:[2,10],overfitscal:[29,30,62],overid:61,overlai:10,overrid:[6,61],oversampl:[61,68],overview:[60,63,66,69,70],overwrit:[6,50,61,62],overwritten:0,own:[37,59,61,62,64,66,68,69],p_ngtdm:65,packag:[59,61,66,70],packagedir:61,pad:[10,17],padmo:59,page:[15,59,68,70],pairwis:11,pairwise_auc:2,panda:[2,10,65,69],panda_data:[2,65],paper:[2,9,66],par:[9,23,24,62],para:2,paracheck:10,parallel:[2,6,61,62],param:[2,10],param_c:2,param_degre:2,param_distribut:2,param_gamma:2,param_grid:2,param_kernel:2,param_list:2,paramet:[0,2,6,9,10,11,22,34,40,54,59,60,61,62,63,64,68,70],parameter_optim:[0,59],parametergrid:2,parameters_al:2,parameters_est:2,parametersampl:2,parametr:[9,24,62],paramt:[],parekh:66,parent:17,pars:[1,61,62,64],part:[2,6,34,42,61,62,63,64,66,68,70],parti:9,pass:[2,61,70],path:[0,1,2,7,9,10,11,24,61,62,65,69],pathnotfoundexcept:7,patient001:0,patient002:0,patient1:[62,65,70],patient1_0:70,patient1_1:70,patient2:[62,65,70],patient3:[62,70],patient:[0,1,2,6,9,10,11,32,54,59,61,62,66,69,70],patient_001:69,patient_002:69,patient_featur:[9,61,70],patient_id:[2,11,17],patientclass:[61,62],patientinfo:[1,2,9,10,11],patientinfo_test:2,patientinfo_train:2,patrick:9,pattern:[59,70],pca:[2,6,34,61,62,64,70],pcatyp:[33,34,62],pce:61,pdf:9,peak:66,pearson:70,peform:69,penalti:[22,61,62],peopl:59,per:[0,1,2,9,24,56,61,62,65,66,70],per_featur:[9,23,24,62],percentag:[2,6,9,10,17,26,34,40,54,61,62,66,69,70],percentil:[9,61,66],perform:[0,2,6,9,10,17,26,30,38,40,46,59,61,62,63,68,69,70],performance_all_0:69,performance_fil:69,performance_metr:2,performance_multilabel:2,performance_singlelabel:2,person:59,peter:66,peura:66,pf_:[23,35,62],phase:[41,42,58,59,62],phase_featur:[9,57,58,62],phase_minwavelength:[41,42,62,66],phase_nscal:[41,42,62,66],phasef_:9,phd:68,phenotyp:66,phil:59,philip:66,physic:0,pick:[62,70],pid:[10,11,61],pietikainen:66,pilot:59,pinfo:[10,17,61],pinfo_hn:69,pip:[60,61,65,69],pipelin:[0,59,61,68,70],pixel:[0,10,42,52,62,66],place:64,placehold:9,platform:[59,68,69],pleas:[6,9,59,60,62,63,64,65,66,69,70],plot:[0,9,16,59,61],plot_bar:10,plot_barchart:[0,59],plot_boxplot_featur:[0,59],plot_boxplot_perform:[0,59],plot_error:[0,59],plot_estimator_perform:[0,59],plot_hyperparamet:[0,59],plot_im_and_overlai:10,plot_imag:[0,59,61],plot_prc_cic:10,plot_pvalues_featur:[0,59],plot_ranked_imag:10,plot_ranked_percentag:10,plot_ranked_posterior:[10,61],plot_ranked_scor:[0,59],plot_roc:[0,59],plot_roc_c:10,plot_single_prc:10,plot_single_roc:10,plot_svm:61,plot_svr:61,plot_test:9,plotminmaxrespons:[0,59],plotrankedscor:61,plu:[2,24,62,70],pluge:0,plugin:[0,2,21,22,40,61,62,65,68],png:[0,10,61],point:[2,10,42,62,69],pointint:10,pointsar:10,poli:[2,21,62],polynomi:[22,62,70],port:61,posit:[2,9,10,34,62,66,70],possibl:[2,9,59,61,66,68,70],post:69,posterior:[6,10,61,70],posteriors_csv:10,potenti:64,ppv:70,practic:68,prax:66,prc_csv:10,prc_png:10,prc_tex:10,pre:61,pre_dispatch:2,precis:[10,61,66,70],precomput:69,precrop:[51,52,62],predict:[2,5,6,9,10,15,37,57,59,60,61,62,65,66,68,69,70],predict_label:[6,61,69],predict_log_proba:2,predict_proba:[2,61],predictions_on:15,predictions_sorted_transpos:15,predictions_two:15,predictproba:61,predit:61,preflighcheck:61,preflightcheck:[0,59,61],prepar:[11,59],preprint:59,preprocess:[0,2,3,9,37,38,50,59,61,68,70],preprocess_nod:0,preprocessor:[0,32,59,61,62,64],preprocss:2,present:[2,59,61,66,69],preserverd:[24,62],prevent:61,previou:[68,70],previous:[61,68],primari:[50,62],primary_axi:11,princip:66,principl:[34,59,62,68,70],print:[2,7,9,10,61,69,70],probabl:[2,15,65,69],probe:59,problem:[2,59,61,68],procedur:[9,62,70],proceed:[59,70],process:[0,2,6,15,38,59,60,61,62,68,70],process_fit:2,processpoolexecut:17,produc:[2,66],program:[23,62,68],progress:[2,61],project:[5,11,61],project_nam:5,projectid:[45,46,62],proof:59,proper:[0,61],properli:61,properti:[2,66],prostat:59,proven:68,provid:[0,2,6,10,11,17,24,28,38,49,50,60,62,63,66,69,70],provost:70,pseudo:2,psycholog:9,publish:15,purpos:[0,30,62],push:59,put:[10,61,62,70],pvalu:15,pxcastconvert:61,pyradiom:[1,3,9,37,51,52,57,59,61,64,65,66],python3:61,python:[5,9,23,59,60,61,62,64,68,69],python_intro:60,pywavelet:65,qda:[21,22,62],qda_reg_param:[21,22,62],qualiti:2,quantifi:66,quantit:[59,66,68],question:68,queue:59,quick:[59,62,65],quickli:66,quit:[62,68],qxm:[],radial:[66,70],radian:[42,62,66],radii:[42,62],radiograph:66,radiolog:[59,66],radiom:[0,9,60,62,63,70],radiomix:[6,7,61],radiu:[10,11,42,50,56,62,66],rais:[2,61],rajic:59,ran:[2,61,69],random:[2,5,24,26,34,61,62,70],random_se:2,random_search:2,random_search_paramet:2,random_split:[25,62],random_split_cross_valid:2,random_st:[2,9],randomizedsearchcv:2,randomizedsearchcvfastr:2,randomizedsearchcvjoblib:2,randomli:[2,34,62,65],randomoversampl:[53,62],randomsearch:2,randomst:2,randomundersampl:[53,62],rang:[10,11,22,34,54,62,66],rank:[6,9,10,28,34,40,61,62,68,70],rank_:2,rank_test_scor:2,ranked_pid:10,ranked_scor:10,ranked_truth:10,rankedposterior:61,rankedsvm:61,ranking_scor:[2,39,40,62],ranksvm:[],ranksvm_test:[],ranksvm_test_origin:[],ranksvm_train:[],ranksvm_train_old:[],rate:[10,22,62,70],rater:9,rather:2,ratio:[10,22,62,66],rational:63,raw:[11,66],rbf:[2,21,62],read:[1,2,11,68,69,70],read_hdf:69,reader:61,readthedoc:[0,42,51,52,54,59,60,61,62],reason:[2,66],recal:[10,61,70],receiv:[10,15,70],recent:61,recogn:65,recommend:[2,22,24,59,60,62,64,66,68,69],recommmend:69,recreat:2,reduc:[2,59,61],reduct:[61,68],redund:[61,66],ref:2,refactor:61,refer:[0,1,2,3,4,6,7,9,10,11,15,17,18,37,61,62,64,66,68],refit:[2,40,61,62],refit_and_scor:2,refit_ensembl:10,refit_workflow:[2,39,40,62],reflect:66,regard:59,regardless:69,region:[6,66],registr:[0,38,59,61,62,68,70],registrationnod:[37,38,62],regress:[2,6,10,17,22,46,59,61,62,65,69,70],regressor:[0,59,60,61],regular:[22,62,70],rel:[2,65],relat:[0,66],releas:[61,68],relev:[60,64,66,68,70],reli:66,reliabl:9,relief:[0,2,34,59,61,62],reliefdistancep:[33,34,62],reliefnn:[33,34,62],reliefnumfeatur:[33,34,62],reliefsamples:[33,34,61,62],reliefsel:2,reliefus:[33,34,62],remov:[9,10,38,56,60,61,62],remove_small_object:[55,56,62],removeconst:10,renam:61,rencken:59,repeat:[2,62],repetit:66,replac:[2,9,44,61,62,64,65],replacenan:[2,61],report:70,repositori:[59,69],repres:[2,66],reproduc:[61,68],requir:[0,2,6,22,59,61,62,65,68,69,70],resampl:[2,3,11,49,50,54,59,60,61,70],resample_imag:11,resampled_imag:11,resampledpixelspac:[51,52,62],resampling_spac:[49,50,62],research:[59,66,68],resourc:[0,11,13,59,65,68],respect:[9,56,60,62,69,70],result:[2,9,10,38,50,59,61,62,66,68],ret:2,retreiv:11,retriev:66,return_al:2,return_estim:2,return_n_test_sampl:2,return_paramet:2,return_tim:2,return_train_scor:2,returnplot:10,revert:61,review:66,rfmax_depth:[21,22,62],rfmin_samples_split:[21,22,62],rfn_estim:[21,22,62],rfr:[21,62],rgrd:[58,61,62],rgrd_featur:[9,57,58,62],rgrdf_:9,ridg:[21,61,62],right:70,ring:[11,55,56,60,61,62],risk:[59,70],rms_score:2,rng:2,robust:[9,35,59,61,62,66],robust_z_scor:[9,35,62],robustscal:[9,61],robuststandardscal:[9,61],roc:[6,10,15,61,70],roc_comparison:15,roc_csv:10,roc_png:10,roc_tex:10,roi:[11,50,52,59,61,62,70],roi_dilate_radiu:11,roidetermin:[11,49,50,62],roidil:[49,50,62],roidilateradiu:[49,50,62],rokwa:9,root:[2,6],rosset:70,rot90:10,rotat:[50,62,66],rough:66,round:[2,22,61,62],rounded_list:2,routin:[66,68],row:[2,9,66],rtstructread:61,run:[2,6,9,59,61,62,65,68,70],runtim:[2,61],rvs:2,safe:64,saga:[21,62],sagit:[51,61,62],sai:60,same:[1,2,9,10,22,32,38,60,61,62,66,68,69,70],samefeat:9,sampl:[0,1,2,9,10,22,34,40,54,61,62,70],sample_s:9,sample_weight:15,sampler:2,sampleswarn:18,sampling_strategi:[2,53,54,62],sar:2,sar_scor:2,sarcoma:59,satur:66,save:[0,2,5,9,10,38,40,61,62,65,66,69,70],save_config:[0,64],save_data:2,save_memori:10,scale:[2,9,21,22,33,36,42,43,52,53,54,61,62,66,68],scaler:[0,2,30,59,61,62,64],scaling_method:[35,36,62],scan:[62,66,69],scanner:66,scatterplot:[10,61],schoot:59,scienc:70,scikit:[2,9,21,22,34,60,62],scipi:2,score:[2,6,9,10,17,40,50,61,62,63,70],score_tim:2,scorer:2,scorer_:2,scorers_dict:2,scoring_method:[2,6,7,39,40,62],scoring_paramet:2,script:[9,60,61,64,65,68,69,70],script_path:69,scroll:70,search:[2,6,9,34,40,59,61,62,64,65],searchcv:[0,10,59,61,64],sebastian:59,second:[2,9,15,24,62,66],section:[62,65,69,70],see:[0,1,2,4,6,7,9,10,11,17,21,22,34,38,42,51,52,54,59,60,61,62,64,65,66,69,70],seed:[2,26,61,62],seem:[61,68],seen:70,seg:[17,61],seg_liver_mr:70,seg_tumor1_mr:70,seg_tumor2_mr:70,seg_tumor_mr:70,segment:[0,6,10,11,17,38,56,60,61,62,66,68,69],segmentation_file_nam:[6,69],segmentations1:70,segmentations2:70,segmentations_from_this_directori:[6,69],segmentations_test:70,segmentations_train:[6,70],segmentix:[0,1,3,37,38,52,59,60,61,70],segmentix_test:[0,12],segradiu:[55,56,62],segtyp:[55,56,62],sel:9,select:[2,6,9,11,22,34,52,59,61,62,68,70],selected_label:6,selectfeatgroup:[3,34,59,65],selectfrommodel:[33,34,61,62],selectfrommodel_estim:[33,34,62],selectfrommodel_lasso_alpha:[33,34,62],selectfrommodel_n_tre:[33,34,62],selectgroup:[0,59,65],selectindividu:[0,59],selectmodel:2,selectmulticlassrelief:9,selectormixin:[9,61],self:[2,4,7,9,11,17,22,62,65],selfeat_vari:9,semant:[0,6,58,59,61,62],semantic_featur:[9,57,58,62],semantics_from_this_fil:6,semantics_test:70,semantics_train:70,semf_:[9,23,35,62],semicolon:61,sensibl:66,sensit:70,separ:[2,6,21,23,30,35,36,41,61,62,70],sequenc:[0,2,70],seri:[6,65],seriou:60,serpar:61,serv:[0,66,68,70],session:5,set:[0,1,2,5,6,9,10,15,17,22,30,38,40,44,50,60,61,62,64,65,66,68,69,70],set_fixed_split:6,set_multicore_execut:[6,69],set_tmpdir:[6,69],settin:2,settings_dict:1,setup:[6,61],sever:[0,6,9,11,60,61,62,65,66,68,69,70],sex:[9,41,62,66,70],sf_:[9,23,62,65],sf_compact:9,sgd:[21,22,62],sgd_alpha:[21,22,62],sgd_l1_ratio:[21,22,62],sgd_loss:[21,22,62],sgd_penalti:[21,22,62],sgdr:[21,62],shape:[2,9,41,42,52,58,59,62,65],shape_featur:[9,57,58,62],shear:68,sheet:70,shift:[24,62],should:[0,1,2,6,9,10,11,24,36,38,40,42,54,56,60,61,62,65,70],show:[2,10,61,69,70],shown:68,shrink:2,shrinkag:[22,62],shrout:9,shuffle_estim:10,shutil:61,siemen:66,sigma:[9,15,66],sign:[2,9],signal:15,signatur:[2,4,7,9,11,17,59],signific:[10,70],significantli:62,similar:[2,9,60,61,64,65,66,68,69,70],similarli:64,simpl:[6,60,65,66,68,69],simpleelastix:70,simpleitk:[50,60,62,70],simpler:68,simplest:70,simplevalid:18,simpleworc:[0,59,60,61,69,70],simpli:[24,59,61,62,65,69,70],simplifi:69,simultan:[2,68],sinc:65,singel:6,singl:[2,6,10,11,15,24,40,42,44,59,60,61,62,63,70],single_class_relief:9,singleclass:2,singlelabel:[2,17,45,46,62],singleton:2,sink:[0,17,61,64,68,70],sink_data:[0,13,17,70],site:[2,59],sitkbsplin:[51,52,62],six:66,size:[2,10,17,34,40,42,59,61,62,70],size_alpha:[],skew:66,skip:[36,61,62,69,70],skip_featur:[9,35,36,62],sklearn:[2,9,10,21,22,34,39,61,62,64],slack:[22,62],sleijfer:59,slice:[0,2,10,56,61,62,66,70],slicer:[0,10,59,61],slight:2,slightli:69,slow:61,small:[9,56,60,61,62,66],smaller:[54,62,66],smallest:2,smart:[10,62],smit:59,smote:[2,53,61,62],smoteen:2,smoteenn:[53,62],smotetomek:[53,62],snapshot:70,sne:[6,70],societi:59,soft:59,softwar:[24,59,62,68],sole:66,solid:66,solut:[2,65],solv:[65,68],solver:[22,61,62],some:[0,2,6,59,61,62,64,68,69,70],somenam:[62,70],someon:68,someotherrandandomfolderwith:65,sometim:61,sort:[2,15,61,69],sourc:[0,1,2,4,5,6,7,9,10,11,13,15,16,17,18,59,61,62,64,66,68,69],source_data:[0,13,70],space:[2,9,10,11,34,50,60,61,62,64,66,70],span:2,spars:[9,70],spawn:[0,2],spawner:0,spearman:70,specif:[2,9,22,48,62,64,65,66,68,69,70],specifi:[0,2,6,11,22,34,38,40,48,54,62],speed:[6,69],spend:2,spheric:66,split0_test_scor:2,split0_train_scor:2,split1_test_scor:2,split1_train_scor:2,split2_test_scor:2,split2_train_scor:2,split:[2,9,17,22,26,61,62,66,68,70],springer:66,squar:[2,10,70],squared_epsilon_insensit:[21,62],squared_hing:[21,62],squared_loss:[21,62],src:2,ssh:69,stabl:[0,9,21,22,34,54,61,62],stack:1,standalon:[17,61],standard:[6,9,42,59,61,62,66,69,70],standardis:59,standardscal:9,starman:59,start:[2,59,61,62,65,68],stat:[2,10,69],state:[0,2,28,61,62,64,69],statement:[11,64],staticmethod:18,statist:[0,2,9,10,16,34,59,61,62,66,69,70],statisticalsel:2,statisticaltest:61,statisticaltestfeatur:[0,59,61],statisticaltestmetr:[33,34,62],statisticaltestthreshold:[0,33,34,59,62],statisticaltestus:[33,34,62],statsticaltestthreshold:61,statu:[2,11,59],std:9,std_fit_tim:2,std_score_tim:2,std_test_scor:2,std_train_scor:2,stefan:59,step:[2,42,60,61,62,63,65,66,68,70],still:[61,65,69,70],stimul:59,stop:[11,61],store:[2,6,7,69,70],str:[2,61],straight:[60,68],strategi:[2,9,10,43,44,54,59,61,62],stratif:59,stratifi:[2,17],stratifiedkfold:2,strenght:[22,62],strength:[22,62,66],stretch:10,string:[0,1,2,6,9,10,11,21,23,35,39,40,41,45,47,61,62,70],stromal:59,strongli:69,struct:61,structer:66,structur:[65,66,69,70],stuck:69,student:[9,68,70],studi:[0,59,68],studio:69,stwstrategyhn1:69,sub:[0,66],subfold:[6,61,65,69],subgroup:66,subject:[2,5,6],subkei:[19,20,21,22,23,24,25,26,27,28,29,30,31,32,33,34,35,36,37,38,39,40,41,42,43,44,45,46,47,48,49,50,51,52,53,54,55,56,57,58,62],submit:59,subpackag:59,subset:69,substr:[9,24,36,48,62],subtract:[11,55,56,61,62],succeed:61,success:2,suffici:70,suggest:[2,64],suit:[0,2,11],suitabl:[59,66],sun2014fast:15,sun:15,suppli:[1,2,10,42,50,54,56,61,62,70],support:[2,9,26,50,59,61,62,65,66,68,70],suppos:62,sure:[6,64,65,70],surfac:66,surfsara:69,surgeri:59,surgic:59,surrog:2,surround:66,surveil:59,surviv:[6,10,59,70],svc:2,svd:[21,62],svm:[2,6,10,21,22,61,62],svmc:[21,22,62],svmcoef0:[21,22,62],svmdegre:[21,22,62],svmgamma:[21,22,62],svmkernel:[21,22,62],svr:[2,6,21,62],symlink:61,symmetri:66,symposium:59,synthet:[9,10],synthetictest:9,system:[0,2,62,66,70],tabl:[2,70],tadpol:[2,70],tag:[41,42,61,62,66,70],take:[2,9,40,61,62,64,70],taken:10,tandfonlin:9,target:2,task:68,techniqu:[62,66],tedious:68,tell:[6,64,70],tempdir:[61,69],tempfold:2,temporari:[0,6,61,69],tempsav:[2,37,38,62],term:[22,34,61,62,68],terminolog:59,test:[0,2,6,9,10,15,26,30,34,38,40,59,61,62,65,69,70],test_combat:[0,59],test_combat_fastr:16,test_data:[],test_help:[0,59],test_iccthreshold:[0,59],test_invalidlabelsvalidator_columnsubstr:16,test_invalidlabelsvalidator_patientcolumn:16,test_invalidlabelsvalidator_patientsubstr:16,test_invalidlabelsvalidator_validconfig:16,test_metr:10,test_plot_error:[0,59],test_rs_ensembl:2,test_sampl:10,test_sample_count:2,test_scor:[2,39,62],test_score_dict:2,test_siz:[2,17,25,26,39,40,62],test_target:[],test_valid:[0,59],tex:[10,61],text:2,textur:[42,58,59,62],texture_featur:9,texture_gabor:[41,42,62],texture_gabor_featur:[9,57,58,62],texture_glcm:[41,42,51,52,62],texture_glcm_featur:[9,57,58,62],texture_glcmm:[41,42,62],texture_glcmms_featur:[9,57,58,62],texture_gldm:[51,52,62],texture_gldm_featur:[57,58,62],texture_gldzm_featur:[9,57,58,62],texture_glrlm:[41,42,51,52,62],texture_glrlm_featur:[9,57,58,62],texture_glszm:[41,42,51,52,62],texture_glszm_featur:[9,57,58,62],texture_lbp:[41,42,62],texture_lbp_featur:[9,57,58,62],texture_ngldm_featur:[9,57,58,62],texture_ngtdm:[41,42,51,52,62],texture_ngtdm_featur:[9,57,58,62],tf_glcm_contrastd1:66,than:[2,54,61,62,65,69],thei:[2,61,62,63,66,69,70],them:[2,61,62,68,70],themselv:66,therebi:[59,61,68,70],therefor:[0,6,9,60,61,64,65,66,68,69,70],thi:[0,2,6,9,10,32,36,40,48,50,54,59,60,61,62,63,64,65,66,67,68,69,70],thick:66,thing:[61,62,65,69],third:9,thoma:59,thomeer:59,those:[2,6,9,64,66,70],thread:[37,61,62],three:[2,65,66],thresh:[9,10],threshold:[2,9,10,16,34,50,54,61,62,66],threshold_annot:10,threshold_clean:[2,53,54,62],through:[0,2,9,11,17,50,59,61,62,66,68,69,70],throughput:66,thu:[2,9,59,60,61,62,65,66,68,70],tibshirani:70,tiff:[11,70],tikzplotlib:61,timbergen:59,time:[2,10,26,34,40,54,61,62,66,68,69,70],timer:61,timo:66,tip:59,tissu:59,titl:15,tmp:6,tmpdir:[6,69],to_hdf:65,todo:[2,9],togeth:[61,64,69],tol:2,toler:[],tomek:2,tomographi:59,tone:59,too:66,tool:[0,6,37,38,59,60,61,62,64,67,68,69,70],toolbox:[9,57,58,59,61,62,65,66,70],top50:2,top:[10,61],topi:66,toshiba:66,total:[2,66],towardsdatasci:62,tpr:10,trace:[65,69],track:2,trade:2,train:[0,2,6,10,22,26,30,34,38,40,61,62,70],train_data:[],train_scor:2,train_score_dict:2,train_target:[],train_test_split:2,trainclassifi:[0,10,59,61,64],transact:[2,66],transform:[2,9,38,61,62,64,66,70],transformationnod:[37,38,62],transformermixin:9,transformix:[0,37,59,61,62],transpos:[11,60,61],transpose_imag:11,travi:61,treat:62,tree:[22,34,62,70],tri:[2,68],trick:59,trigger:66,truth:[2,10,61,70],tsampl:10,ttest:[9,33,61,62],tube:66,tubular:66,tumor:[59,69,70],tumour:59,tune:[2,62,68],tupl:2,turn:[61,65],tutori:[16,59,62,65],two:[0,2,9,10,15,21,33,41,43,53,61,62,66,69,70],txt:[0,1,2,6,9,10,61,62,70],type:[0,2,4,7,9,10,11,17,22,25,26,34,38,59,61,62,64,66,68,70],typeerror:[0,2],typegroup:61,typic:70,typo:61,udr:[],unadjust:15,unaffect:[24,62],unag:11,uncorrect:70,under:[2,15,59,61,62,66,70],underli:2,underscor:70,understand:68,unfit:2,unfortun:65,uniform:[2,22,54,61,62,64,66],uniformli:2,uniqu:[2,66],unit:[61,62],univari:[2,6,61,70],univers:[2,59],unless:2,unreleas:[],unround:61,unsuccesful:61,unsuit:61,unsupervis:2,until:2,updat:61,upgrad:61,upon:[6,62],upper:[34,62],upperbound:[11,50,62],uri:61,url:[11,45,46,61,62],urltyp:61,usabl:2,usag:[2,40,61,62,66,70],usd:9,use:[0,2,6,9,10,11,17,20,22,24,26,28,30,32,34,38,43,44,48,50,52,58,59,60,61,62,64,66,68,69,70],use_fastr:2,useag:9,used:[0,1,2,6,9,10,11,22,26,28,30,34,38,40,42,44,46,50,52,54,56,58,59,61,62,64,66,68,69,70],useful:[2,9,38,62,70],usemask:11,usepca:[33,34,62],user:[2,6,60,66,67,69],usersmynamefeaturefold:6,usersmynameimagefold:6,usersmynamemaskfold:6,usersmynamesegmentationfold:6,uses:[2,6,9,61,64,65,66,67],using:[0,2,6,9,17,22,24,26,28,34,40,44,50,52,59,60,61,62,64,65,66,68,69,70],usual:66,util:2,v600e:59,val:0,valid:[0,2,6,9,10,17,26,38,40,59,61,62,70],validationm:[26,62],validatorsfactori:18,valu:[0,2,6,9,10,11,15,34,39,42,44,48,52,60,61,62,64,65,66,69,70],value1:62,value2:62,valueerror:0,van:[59,66],vari:[2,52,61,62,66,68],variabl:[0,10,24,60,61,62,65,69],varianc:[2,9,15,33,34,61,62,66],variancethreshold:[0,34,59,61,62],variancethresholdmean:9,variant:68,variat:[24,62],varieti:[6,59,66],variou:[2,10,59,61,62,64,67,68,70],varsel:2,vector:[2,9],veenland:59,veldt:59,vendor:59,verbos:[2,5,9,10,61],verhoef:59,veri:[2,68],verion:61,vermeulen:59,version:[15,24,61,62,65,66],verson:61,versu:59,vessel:[41,42,58,59,62],vessel_featur:[9,57,58,62],vessel_radiu:[41,42,62,66],vessel_scale_rang:[41,42,62,66],vessel_scale_step:[41,42,62,66],vf_:9,vfs:[0,61],via:69,vincent:59,virtual:65,virtualenv:69,vishwa:66,visit:64,visser:59,visual:[66,69],vizual:61,vol:70,volum:[15,59,66],voort:59,voxel:[56,62,66],voxelarrayshift:[51,52,62],wai:[62,66,70],want:[0,6,11,59,60,62,66,69,70],warn:[2,61],warp:70,wavelength:[42,62],wavelet:[51,52,58,59,61,62],wavelet_featur:[9,57,58,62],weak:[0,2,4,6,7,9,11,17,18],week:65,weichao:15,weight:[22,61,62],weigth:[34,62],welch:[9,33,62,70],well:[11,59,61,62,64,66,68,69,70],were:[61,64,65,66,68,70],weus:70,what:[64,66],when:[0,2,6,9,10,17,22,26,28,34,36,40,44,60,61,62,64,65,66,68,69,70],whenev:2,where:[2,10,59,61,68,69],wheter:[30,62],whether:[1,2,6,9,10,11,20,28,38,42,46,48,50,52,56,61,62,63,66,69],which:[0,2,6,7,9,10,11,24,34,36,38,40,48,52,60,61,62,63,64,65,66,68,69,70],whitnei:70,whole:[40,62,68],why:62,wich:2,wide:[59,66],width:[52,59,62,70],wijnenga:59,wiki:[1,2,9,10,11],wilcoxon:[2,9,33,62,70],wildcard:[6,65],willemssen:59,window:[22,61,62,69],wip:[9,10,45,46,59,60,62,63,64],with_mean:9,with_std:9,within:[61,63,65,66,68,70],withing:[50,62],without:[2,61],wonder:68,worc:[1,2,4,5,6,7,9,10,11,13,15,16,17,18,22,37,39,42,48,60,61,62,63,64,66,67,68,69],worc_:69,worc_config:[0,59,61,62],worcassertionerror:0,worccastconvert:61,worccastcovert:61,worcdirectorydetector:4,worcerror:0,worcflow:59,worcindexerror:0,worcioerror:0,worckeyerror:[0,59],worcnotimplementederror:0,worcscal:9,worctutori:[6,59,65,69,70],worctutorialsimple_travis_multiclass:[],worctutorialsimple_travis_regress:[],worctutorialsimple_unittest_multiclass:[0,59],worctutorialsimple_unittest_regress:[0,59],worctypeerror:0,worcvalueerror:[0,59],worcworc:64,work:[11,59,61,66,68],workaround:2,workflow:[0,2,6,10,40,61,62,63,64,66,68,69,70],would:[59,62,66,68,69,70],wrap:[2,60,61,64,68],wrapper:[2,60,64,70],write:10,written:[2,9,10],wtype:0,www:[9,62],x_test:[2,9],x_train:[2,9,10],xgb:[22,62],xgb_boosting_round:[21,22,62],xgb_colsample_bytre:[21,22,62],xgb_gamma:[21,22,62],xgb_learning_r:[21,22,62],xgb_max_depth:[21,22,62],xgb_min_child_weight:[21,22,62],xgbclassifi:[21,62],xgboost:[60,61,62],xgbregressor:[21,62],xgdboost:[60,61],xlsx:[2,7],xml:64,xnat:[11,61,69],xnat_url:5,y_predict:[2,10],y_score:[2,10],y_test:2,y_train:[2,9,10],y_truth:[2,10],yandexdataschool:15,year:15,yet:[6,11,61],yield:2,yml:61,you:[0,2,6,11,17,48,54,59,60,61,62,64,65,66,68,69,70],your:[0,2,6,30,37,38,40,46,52,59,61,62,64,69],yourself:[59,68],yspace:9,z_score:[9,11,35,49,62],zero:[9,44,61,62],zij:9,zip:[10,61,69],zone:59,zoomfactor:10,zwanenburg:66},titles:["WORC Package","IOparser Package","classification Package","<no title>","detectors Package","exampledata Package","facade Package","helpers Package","fastrconfig Package","featureprocessing Package","plotting Package","processing Package","resources Package","fastr_tests Package","fastr_tools Package","statistics Package","tests Package","tools Package","validators Package","<no title>","<no title>","<no title>","<no title>","<no title>","<no title>","<no title>","<no title>","<no title>","<no title>","<no title>","<no title>","<no title>","<no title>","<no title>","<no title>","<no title>","<no title>","<no title>","<no title>","<no title>","<no title>","<no title>","<no title>","<no title>","<no title>","<no title>","<no title>","<no title>","<no title>","<no title>","<no title>","<no title>","<no title>","<no title>","<no title>","<no title>","<no title>","<no title>","<no title>","WORC: Workflow for Optimal Radiomics Classification","Additional functionality","Changelog","Configuration","Data Mining Methods","Developer documentation","FAQ","Radiomics Features","Resource File Formats","Introduction","Quick start guide","User Manual"],titleterms:{"0rc1":61,"boolean":65,"class":11,"default":65,"function":60,"import":69,Added:61,Adding:64,The:[69,70],actual:69,addexcept:[0,65],addit:60,advancedsampl:2,alter:65,analysi:[63,69],arrai:65,attribut:70,basicworc:6,begin:65,bigr:65,bin:66,binari:66,bootstrap:62,calcfeatures_test:13,can:65,chang:61,changelog:61,choic:66,classif:[2,59,62,63],classifi:60,cluster:65,column:65,combat:[9,60,62],command:70,compon:63,comput:65,compute_ci:10,config_io_classifi:1,config_io_combat:1,config_io_pyradiom:1,config_preprocess:1,config_segmentix:1,config_worc:1,configbuild:7,configur:62,construct:70,construct_classifi:2,content:62,convert:65,crash:65,create_example_data:5,createfixedsplit:[2,17],creation:62,crossval:2,crossvalid:62,data:[63,64,70],datadownload:5,debug:70,decomposit:9,definit:70,delet:65,delong:15,depend:66,detector:4,develop:[59,64],dicom:66,differ:[65,66],dimension:63,document:[59,64],elastix:17,elastix_para:70,elastix_test:13,ensembl:62,entri:65,error:65,estim:[],evalu:[17,62,70],exampl:[64,70],exampledata:5,except:7,execut:[65,70],experi:[65,69],extract:66,extractnlargestblobsn:11,facad:6,fals:65,faq:65,fastr:68,fastr_test:13,fastr_tool:14,fastrconfig:8,feat_out_0:65,featpreprocess:62,featsel:62,featur:[63,64,65,66,70],featureconvert:9,featureprocess:9,featuresc:62,file:[65,67,70],file_io:1,filter:66,first:65,fitandscor:2,fix:[61,66],format:[65,67],found:65,from:63,full:66,function_bas:65,gabor:66,gaussian:66,gener:62,given:65,glcm:66,gldm:66,glrlm:66,glszm:66,grai:66,groupwis:63,guid:69,hdf5:65,helper:[7,11],histogram:66,hyperoptim:[62,64],icc:[],iccthreshold:9,imag:[60,66,70],imagefeatur:62,imput:[9,62,63],indexerror:65,indic:[59,65],infer:17,input:[69,70],instal:[65,69],instead:65,integ:65,interact:[62,70],introduct:[62,68],iopars:1,job:65,keep:65,label:[62,65,70],label_process:11,labels_from_this_fil:65,laplacian:66,lbp:66,learn:63,length:66,level:66,lib:65,like:65,line:65,linstretch:10,local:66,log:66,look:65,machin:63,manual:70,mask:70,matrix:66,metadata:70,method:[63,64],metric:2,mine:63,model:63,modul:[0,1,2,4,5,6,7,8,9,10,11,13,15,16,17,18,59,65],modular:68,modulenotfounderror:65,must:65,name:65,need:65,neighborhood:66,network:70,ngtdm:66,numpi:65,obj:65,object:70,objectsampl:2,occur:66,onehotencod:[62,63],onehotencoderwrapp:9,ones:65,optim:[59,68],orient:66,other:[65,66],own:65,packag:[0,1,2,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,65,69],paramet:66,parameter_optim:2,patient:65,pattern:66,pca:63,phase:66,plot:10,plot_barchart:10,plot_boxplot_featur:10,plot_boxplot_perform:10,plot_error:10,plot_estimator_perform:10,plot_hyperparamet:10,plot_imag:10,plot_pvalues_featur:10,plot_ranked_scor:10,plot_roc:10,plotminmaxrespons:10,preflightcheck:18,preprocess:[11,60,62],preprocessor:9,princip:63,process:[7,11,64],pyradiom:62,queue:65,quick:69,radiom:[59,66,68],rankedsvm:[],reduct:63,refer:59,registr:60,regress:63,regressor:2,relief:[9,63],resampl:[62,63],resourc:[12,67],result:69,roi:66,run:[66,69],scale:63,scaler:9,scatterplot:[],searchcv:2,segment:70,segmentix:[11,62],segmentix_test:13,select:[63,65,66],selectfeatgroup:62,selectgroup:9,selectindividu:9,semant:[66,70],shape:66,simpleworc:[6,65],site:65,size:66,slicer:17,some:65,sourc:70,standard:[65,68],start:69,statist:[15,63],statisticaltestfeatur:9,statisticaltestthreshold:9,submit:65,subpackag:[0,6,12],surviv:63,tabl:59,tell:65,terminolog:68,test:[16,63,64],test_combat:16,test_help:16,test_iccthreshold:16,test_plot_error:16,test_valid:16,textur:66,tip:69,tone:66,tool:17,toolbox:64,trainclassifi:2,transformix:17,trick:69,tutori:69,type:65,univari:63,unreleas:[],use:65,used:65,user:[59,70],valid:18,varianc:63,variancethreshold:9,vessel:66,wavelet:66,welcom:59,where:65,width:66,worc:[0,59,65,70],worc_config:8,worckeyerror:65,worctutorialsimple_travis_multiclass:[],worctutorialsimple_travis_regress:[],worctutorialsimple_unittest_multiclass:16,worctutorialsimple_unittest_regress:16,worcvalueerror:65,work:65,workflow:59,would:65,your:[65,70],zone:66}})
\ No newline at end of file
+Search.setIndex({docnames:["autogen/WORC","autogen/WORC.IOparser","autogen/WORC.classification","autogen/WORC.config","autogen/WORC.detectors","autogen/WORC.exampledata","autogen/WORC.export","autogen/WORC.facade","autogen/WORC.facade.helpers","autogen/WORC.fastrconfig","autogen/WORC.featureprocessing","autogen/WORC.plotting","autogen/WORC.processing","autogen/WORC.resources","autogen/WORC.resources.fastr_tests","autogen/WORC.resources.fastr_tools","autogen/WORC.statistics","autogen/WORC.tests","autogen/WORC.tools","autogen/WORC.validators","autogen/config/WORC.config_Bootstrap_defopts","autogen/config/WORC.config_Bootstrap_description","autogen/config/WORC.config_Classification_defopts","autogen/config/WORC.config_Classification_description","autogen/config/WORC.config_ComBat_defopts","autogen/config/WORC.config_ComBat_description","autogen/config/WORC.config_CrossValidation_defopts","autogen/config/WORC.config_CrossValidation_description","autogen/config/WORC.config_Ensemble_defopts","autogen/config/WORC.config_Ensemble_description","autogen/config/WORC.config_Evaluation_defopts","autogen/config/WORC.config_Evaluation_description","autogen/config/WORC.config_FeatPreProcess_defopts","autogen/config/WORC.config_FeatPreProcess_description","autogen/config/WORC.config_Featsel_defopts","autogen/config/WORC.config_Featsel_description","autogen/config/WORC.config_FeatureScaling_defopts","autogen/config/WORC.config_FeatureScaling_description","autogen/config/WORC.config_General_defopts","autogen/config/WORC.config_General_description","autogen/config/WORC.config_HyperOptimization_defopts","autogen/config/WORC.config_HyperOptimization_description","autogen/config/WORC.config_ImageFeatures_defopts","autogen/config/WORC.config_ImageFeatures_description","autogen/config/WORC.config_Imputation_defopts","autogen/config/WORC.config_Imputation_description","autogen/config/WORC.config_Labels_defopts","autogen/config/WORC.config_Labels_description","autogen/config/WORC.config_OneHotEncoding_defopts","autogen/config/WORC.config_OneHotEncoding_description","autogen/config/WORC.config_Preprocessing_defopts","autogen/config/WORC.config_Preprocessing_description","autogen/config/WORC.config_PyRadiomics_defopts","autogen/config/WORC.config_PyRadiomics_description","autogen/config/WORC.config_Resampling_defopts","autogen/config/WORC.config_Resampling_description","autogen/config/WORC.config_Segmentix_defopts","autogen/config/WORC.config_Segmentix_description","autogen/config/WORC.config_SelectFeatGroup_defopts","autogen/config/WORC.config_SelectFeatGroup_description","index","static/additionalfunctionality","static/changelog","static/configuration","static/datamining","static/developerdocumentation","static/faq","static/features","static/file_description","static/introduction","static/quick_start","static/user_manual"],envversion:{"sphinx.domains.c":1,"sphinx.domains.changeset":1,"sphinx.domains.cpp":1,"sphinx.domains.javascript":1,"sphinx.domains.math":2,"sphinx.domains.python":1,"sphinx.domains.rst":1,"sphinx.domains.std":1,"sphinx.ext.intersphinx":1,"sphinx.ext.todo":1,"sphinx.ext.viewcode":1,sphinx:56},filenames:["autogen/WORC.rst","autogen/WORC.IOparser.rst","autogen/WORC.classification.rst","autogen/WORC.config.rst","autogen/WORC.detectors.rst","autogen/WORC.exampledata.rst","autogen/WORC.export.rst","autogen/WORC.facade.rst","autogen/WORC.facade.helpers.rst","autogen/WORC.fastrconfig.rst","autogen/WORC.featureprocessing.rst","autogen/WORC.plotting.rst","autogen/WORC.processing.rst","autogen/WORC.resources.rst","autogen/WORC.resources.fastr_tests.rst","autogen/WORC.resources.fastr_tools.rst","autogen/WORC.statistics.rst","autogen/WORC.tests.rst","autogen/WORC.tools.rst","autogen/WORC.validators.rst","autogen/config/WORC.config_Bootstrap_defopts.rst","autogen/config/WORC.config_Bootstrap_description.rst","autogen/config/WORC.config_Classification_defopts.rst","autogen/config/WORC.config_Classification_description.rst","autogen/config/WORC.config_ComBat_defopts.rst","autogen/config/WORC.config_ComBat_description.rst","autogen/config/WORC.config_CrossValidation_defopts.rst","autogen/config/WORC.config_CrossValidation_description.rst","autogen/config/WORC.config_Ensemble_defopts.rst","autogen/config/WORC.config_Ensemble_description.rst","autogen/config/WORC.config_Evaluation_defopts.rst","autogen/config/WORC.config_Evaluation_description.rst","autogen/config/WORC.config_FeatPreProcess_defopts.rst","autogen/config/WORC.config_FeatPreProcess_description.rst","autogen/config/WORC.config_Featsel_defopts.rst","autogen/config/WORC.config_Featsel_description.rst","autogen/config/WORC.config_FeatureScaling_defopts.rst","autogen/config/WORC.config_FeatureScaling_description.rst","autogen/config/WORC.config_General_defopts.rst","autogen/config/WORC.config_General_description.rst","autogen/config/WORC.config_HyperOptimization_defopts.rst","autogen/config/WORC.config_HyperOptimization_description.rst","autogen/config/WORC.config_ImageFeatures_defopts.rst","autogen/config/WORC.config_ImageFeatures_description.rst","autogen/config/WORC.config_Imputation_defopts.rst","autogen/config/WORC.config_Imputation_description.rst","autogen/config/WORC.config_Labels_defopts.rst","autogen/config/WORC.config_Labels_description.rst","autogen/config/WORC.config_OneHotEncoding_defopts.rst","autogen/config/WORC.config_OneHotEncoding_description.rst","autogen/config/WORC.config_Preprocessing_defopts.rst","autogen/config/WORC.config_Preprocessing_description.rst","autogen/config/WORC.config_PyRadiomics_defopts.rst","autogen/config/WORC.config_PyRadiomics_description.rst","autogen/config/WORC.config_Resampling_defopts.rst","autogen/config/WORC.config_Resampling_description.rst","autogen/config/WORC.config_Segmentix_defopts.rst","autogen/config/WORC.config_Segmentix_description.rst","autogen/config/WORC.config_SelectFeatGroup_defopts.rst","autogen/config/WORC.config_SelectFeatGroup_description.rst","index.rst","static/additionalfunctionality.rst","static/changelog.rst","static/configuration.rst","static/datamining.rst","static/developerdocumentation.rst","static/faq.rst","static/features.rst","static/file_description.rst","static/introduction.rst","static/quick_start.rst","static/user_manual.rst"],objects:{"WORC.IOparser":{config_WORC:[1,0,0,"-"],config_io_PyRadiomics:[1,0,0,"-"],config_io_classifier:[1,0,0,"-"],config_io_combat:[1,0,0,"-"],config_preprocessing:[1,0,0,"-"],config_segmentix:[1,0,0,"-"],file_io:[1,0,0,"-"]},"WORC.IOparser.config_WORC":{load_config:[1,1,1,""]},"WORC.IOparser.config_io_PyRadiomics":{load_config:[1,1,1,""]},"WORC.IOparser.config_io_classifier":{load_config:[1,1,1,""]},"WORC.IOparser.config_io_combat":{load_config:[1,1,1,""]},"WORC.IOparser.config_preprocessing":{load_config:[1,1,1,""]},"WORC.IOparser.config_segmentix":{load_config:[1,1,1,""]},"WORC.IOparser.file_io":{convert_config_pyradiomics:[1,1,1,""],load_data:[1,1,1,""],load_features:[1,1,1,""]},"WORC.WORC":{Tools:[0,2,1,""],WORC:[0,2,1,""]},"WORC.WORC.Tools":{__dict__:[0,3,1,""],__init__:[0,4,1,""],__module__:[0,3,1,""],__weakref__:[0,3,1,""]},"WORC.WORC.WORC":{__dict__:[0,3,1,""],__init__:[0,4,1,""],__module__:[0,3,1,""],__weakref__:[0,3,1,""],add_ComBat:[0,4,1,""],add_elastix:[0,4,1,""],add_elastix_sourcesandsinks:[0,4,1,""],add_evaluation:[0,4,1,""],add_feature_calculator:[0,4,1,""],add_preprocessing:[0,4,1,""],add_segmentix:[0,4,1,""],add_tools:[0,4,1,""],build:[0,4,1,""],build_training:[0,4,1,""],defaultconfig:[0,4,1,""],execute:[0,4,1,""],save_config:[0,4,1,""],set:[0,4,1,""]},"WORC.addexceptions":{WORCAssertionError:[0,5,1,""],WORCError:[0,5,1,""],WORCIOError:[0,5,1,""],WORCIndexError:[0,5,1,""],WORCKeyError:[0,5,1,""],WORCNotImplementedError:[0,5,1,""],WORCTypeError:[0,5,1,""],WORCValueError:[0,5,1,""]},"WORC.addexceptions.WORCAssertionError":{__module__:[0,3,1,""]},"WORC.addexceptions.WORCError":{__module__:[0,3,1,""],__weakref__:[0,3,1,""]},"WORC.addexceptions.WORCIOError":{__module__:[0,3,1,""],__weakref__:[0,3,1,""]},"WORC.addexceptions.WORCIndexError":{__module__:[0,3,1,""]},"WORC.addexceptions.WORCKeyError":{__module__:[0,3,1,""]},"WORC.addexceptions.WORCNotImplementedError":{__module__:[0,3,1,""]},"WORC.addexceptions.WORCTypeError":{__module__:[0,3,1,""]},"WORC.addexceptions.WORCValueError":{__module__:[0,3,1,""]},"WORC.classification":{AdvancedSampler:[2,0,0,"-"],ObjectSampler:[2,0,0,"-"],SearchCV:[2,0,0,"-"],construct_classifier:[2,0,0,"-"],createfixedsplits:[2,0,0,"-"],crossval:[2,0,0,"-"],fitandscore:[2,0,0,"-"],metrics:[2,0,0,"-"],parameter_optimization:[2,0,0,"-"],regressors:[2,0,0,"-"],trainclassifier:[2,0,0,"-"]},"WORC.classification.AdvancedSampler":{AdvancedSampler:[2,2,1,""],boolean_uniform:[2,2,1,""],discrete_uniform:[2,2,1,""],exp_uniform:[2,2,1,""],log_uniform:[2,2,1,""]},"WORC.classification.AdvancedSampler.AdvancedSampler":{__dict__:[2,3,1,""],__init__:[2,4,1,""],__iter__:[2,4,1,""],__len__:[2,4,1,""],__module__:[2,3,1,""],__weakref__:[2,3,1,""]},"WORC.classification.AdvancedSampler.boolean_uniform":{__dict__:[2,3,1,""],__init__:[2,4,1,""],__module__:[2,3,1,""],__weakref__:[2,3,1,""],rvs:[2,4,1,""]},"WORC.classification.AdvancedSampler.discrete_uniform":{__dict__:[2,3,1,""],__init__:[2,4,1,""],__module__:[2,3,1,""],__weakref__:[2,3,1,""],rvs:[2,4,1,""]},"WORC.classification.AdvancedSampler.exp_uniform":{__dict__:[2,3,1,""],__init__:[2,4,1,""],__module__:[2,3,1,""],__weakref__:[2,3,1,""],rvs:[2,4,1,""]},"WORC.classification.AdvancedSampler.log_uniform":{__dict__:[2,3,1,""],__init__:[2,4,1,""],__module__:[2,3,1,""],__weakref__:[2,3,1,""],rvs:[2,4,1,""]},"WORC.classification.ObjectSampler":{ObjectSampler:[2,2,1,""]},"WORC.classification.ObjectSampler.ObjectSampler":{__dict__:[2,3,1,""],__init__:[2,4,1,""],__module__:[2,3,1,""],__weakref__:[2,3,1,""],fit:[2,4,1,""],init_ADASYN:[2,4,1,""],init_BorderlineSMOTE:[2,4,1,""],init_NearMiss:[2,4,1,""],init_NeighbourhoodCleaningRule:[2,4,1,""],init_RandomOverSampling:[2,4,1,""],init_RandomUnderSampling:[2,4,1,""],init_SMOTE:[2,4,1,""],init_SMOTEENN:[2,4,1,""],init_SMOTETomek:[2,4,1,""],transform:[2,4,1,""]},"WORC.classification.SearchCV":{BaseSearchCV:[2,2,1,""],BaseSearchCVJoblib:[2,2,1,""],BaseSearchCVfastr:[2,2,1,""],Ensemble:[2,2,1,""],GridSearchCVJoblib:[2,2,1,""],GridSearchCVfastr:[2,2,1,""],RandomizedSearchCVJoblib:[2,2,1,""],RandomizedSearchCVfastr:[2,2,1,""],chunks:[2,1,1,""],chunksdict:[2,1,1,""],rms_score:[2,1,1,""],sar_score:[2,1,1,""]},"WORC.classification.SearchCV.BaseSearchCV":{__abstractmethods__:[2,3,1,""],__init__:[2,4,1,""],__module__:[2,3,1,""],create_ensemble:[2,4,1,""],decision_function:[2,4,1,""],inverse_transform:[2,4,1,""],predict:[2,4,1,""],predict_log_proba:[2,4,1,""],predict_proba:[2,4,1,""],preprocess:[2,4,1,""],process_fit:[2,4,1,""],refit_and_score:[2,4,1,""],score:[2,4,1,""],transform:[2,4,1,""]},"WORC.classification.SearchCV.BaseSearchCVJoblib":{__abstractmethods__:[2,3,1,""],__module__:[2,3,1,""]},"WORC.classification.SearchCV.BaseSearchCVfastr":{__abstractmethods__:[2,3,1,""],__module__:[2,3,1,""]},"WORC.classification.SearchCV.Ensemble":{__abstractmethods__:[2,3,1,""],__init__:[2,4,1,""],__module__:[2,3,1,""],decision_function:[2,4,1,""],inverse_transform:[2,4,1,""],predict:[2,4,1,""],predict_log_proba:[2,4,1,""],predict_proba:[2,4,1,""],transform:[2,4,1,""]},"WORC.classification.SearchCV.GridSearchCVJoblib":{__abstractmethods__:[2,3,1,""],__init__:[2,4,1,""],__module__:[2,3,1,""],fit:[2,4,1,""]},"WORC.classification.SearchCV.GridSearchCVfastr":{__abstractmethods__:[2,3,1,""],__init__:[2,4,1,""],__module__:[2,3,1,""],fit:[2,4,1,""]},"WORC.classification.SearchCV.RandomizedSearchCVJoblib":{__abstractmethods__:[2,3,1,""],__init__:[2,4,1,""],__module__:[2,3,1,""],fit:[2,4,1,""]},"WORC.classification.SearchCV.RandomizedSearchCVfastr":{__abstractmethods__:[2,3,1,""],__init__:[2,4,1,""],__module__:[2,3,1,""],fit:[2,4,1,""]},"WORC.classification.construct_classifier":{construct_SVM:[2,1,1,""],construct_classifier:[2,1,1,""],create_param_grid:[2,1,1,""]},"WORC.classification.createfixedsplits":{createfixedsplits:[2,1,1,""]},"WORC.classification.crossval":{LOO_cross_validation:[2,1,1,""],crossval:[2,1,1,""],nocrossval:[2,1,1,""],random_split_cross_validation:[2,1,1,""],test_RS_Ensemble:[2,1,1,""]},"WORC.classification.fitandscore":{delete_cc_para:[2,1,1,""],delete_nonestimator_parameters:[2,1,1,""],fit_and_score:[2,1,1,""],replacenan:[2,1,1,""]},"WORC.classification.metrics":{ICC:[2,1,1,""],ICC_anova:[2,1,1,""],check_multimetric_scoring:[2,1,1,""],check_scoring:[2,1,1,""],f1_weighted_predictproba:[2,1,1,""],multi_class_auc:[2,1,1,""],multi_class_auc_score:[2,1,1,""],pairwise_auc:[2,1,1,""],performance_multilabel:[2,1,1,""],performance_singlelabel:[2,1,1,""]},"WORC.classification.parameter_optimization":{random_search_parameters:[2,1,1,""]},"WORC.classification.trainclassifier":{add_parameters_to_grid:[2,1,1,""],trainclassifier:[2,1,1,""]},"WORC.detectors":{detectors:[4,0,0,"-"]},"WORC.detectors.detectors":{AbstractDetector:[4,2,1,""],BigrClusterDetector:[4,2,1,""],CartesiusClusterDetector:[4,2,1,""],CsvDetector:[4,2,1,""],DebugDetector:[4,2,1,""],HostnameDetector:[4,2,1,""],LinuxDetector:[4,2,1,""],WORCDirectoryDetector:[4,2,1,""]},"WORC.detectors.detectors.AbstractDetector":{__abstractmethods__:[4,3,1,""],__dict__:[4,3,1,""],__module__:[4,3,1,""],__weakref__:[4,3,1,""],do_detection:[4,4,1,""]},"WORC.detectors.detectors.BigrClusterDetector":{__abstractmethods__:[4,3,1,""],__module__:[4,3,1,""]},"WORC.detectors.detectors.CartesiusClusterDetector":{__abstractmethods__:[4,3,1,""],__module__:[4,3,1,""]},"WORC.detectors.detectors.CsvDetector":{__abstractmethods__:[4,3,1,""],__init__:[4,4,1,""],__module__:[4,3,1,""]},"WORC.detectors.detectors.DebugDetector":{__abstractmethods__:[4,3,1,""],__module__:[4,3,1,""]},"WORC.detectors.detectors.HostnameDetector":{__abstractmethods__:[4,3,1,""],__init__:[4,4,1,""],__module__:[4,3,1,""]},"WORC.detectors.detectors.LinuxDetector":{__abstractmethods__:[4,3,1,""],__module__:[4,3,1,""]},"WORC.detectors.detectors.WORCDirectoryDetector":{__abstractmethods__:[4,3,1,""],__module__:[4,3,1,""]},"WORC.exampledata":{create_example_data:[5,0,0,"-"],datadownloader:[5,0,0,"-"]},"WORC.exampledata.create_example_data":{create_random_features:[5,1,1,""]},"WORC.exampledata.datadownloader":{download_HeadAndNeck:[5,1,1,""],download_project:[5,1,1,""],download_subject:[5,1,1,""]},"WORC.export":{hyper_params_exporter:[6,0,0,"-"]},"WORC.export.hyper_params_exporter":{export_hyper_params_to_latex:[6,1,1,""]},"WORC.facade":{basicworc:[7,0,0,"-"],simpleworc:[7,0,0,"-"]},"WORC.facade.basicworc":{BasicWORC:[7,2,1,""]},"WORC.facade.basicworc.BasicWORC":{__init__:[7,4,1,""],__module__:[7,3,1,""],execute:[7,4,1,""]},"WORC.facade.helpers":{configbuilder:[8,0,0,"-"],exceptions:[8,0,0,"-"],processing:[8,0,0,"-"]},"WORC.facade.helpers.configbuilder":{ConfigBuilder:[8,2,1,""]},"WORC.facade.helpers.configbuilder.ConfigBuilder":{__dict__:[8,3,1,""],__init__:[8,4,1,""],__module__:[8,3,1,""],__weakref__:[8,3,1,""],build_config:[8,4,1,""],coarse_overrides:[8,4,1,""],custom_config_overrides:[8,4,1,""],estimator_scoring_overrides:[8,4,1,""],fullprint:[8,4,1,""]},"WORC.facade.helpers.exceptions":{InvalidCsvFileException:[8,5,1,""],InvalidOrderException:[8,5,1,""],NoFeaturesFoundException:[8,5,1,""],NoImagesFoundException:[8,5,1,""],NoMasksFoundException:[8,5,1,""],NoSegmentationsFoundException:[8,5,1,""],PathNotFoundException:[8,5,1,""]},"WORC.facade.helpers.exceptions.InvalidCsvFileException":{__init__:[8,4,1,""],__module__:[8,3,1,""],__weakref__:[8,3,1,""]},"WORC.facade.helpers.exceptions.InvalidOrderException":{__init__:[8,4,1,""],__module__:[8,3,1,""],__weakref__:[8,3,1,""]},"WORC.facade.helpers.exceptions.NoFeaturesFoundException":{__init__:[8,4,1,""],__module__:[8,3,1,""],__weakref__:[8,3,1,""]},"WORC.facade.helpers.exceptions.NoImagesFoundException":{__init__:[8,4,1,""],__module__:[8,3,1,""],__weakref__:[8,3,1,""]},"WORC.facade.helpers.exceptions.NoMasksFoundException":{__init__:[8,4,1,""],__module__:[8,3,1,""],__weakref__:[8,3,1,""]},"WORC.facade.helpers.exceptions.NoSegmentationsFoundException":{__init__:[8,4,1,""],__module__:[8,3,1,""],__weakref__:[8,3,1,""]},"WORC.facade.helpers.exceptions.PathNotFoundException":{__init__:[8,4,1,""],__module__:[8,3,1,""],__weakref__:[8,3,1,""]},"WORC.facade.helpers.processing":{convert_radiomix_features:[8,1,1,""]},"WORC.facade.simpleworc":{SimpleWORC:[7,2,1,""]},"WORC.facade.simpleworc.SimpleWORC":{__dict__:[7,3,1,""],__init__:[7,4,1,""],__module__:[7,3,1,""],__weakref__:[7,3,1,""],add_config_overrides:[7,4,1,""],add_evaluation:[7,4,1,""],binary_classification:[7,4,1,""],count_num_subjects:[7,4,1,""],execute:[7,4,1,""],features_from_radiomix_xlsx:[7,4,1,""],features_from_this_directory:[7,4,1,""],images_from_this_directory:[7,4,1,""],labels_from_this_file:[7,4,1,""],masks_from_this_directory:[7,4,1,""],multiclass_classification:[7,4,1,""],predict_labels:[7,4,1,""],regression:[7,4,1,""],segmentations_from_this_directory:[7,4,1,""],semantics_from_this_file:[7,4,1,""],set_fixed_splits:[7,4,1,""],set_multicore_execution:[7,4,1,""],set_tmpdir:[7,4,1,""],survival:[7,4,1,""]},"WORC.featureprocessing":{ComBat:[10,0,0,"-"],Decomposition:[10,0,0,"-"],FeatureConverter:[10,0,0,"-"],ICCThreshold:[10,0,0,"-"],Imputer:[10,0,0,"-"],OneHotEncoderWrapper:[10,0,0,"-"],Preprocessor:[10,0,0,"-"],Relief:[10,0,0,"-"],Scalers:[10,0,0,"-"],SelectGroups:[10,0,0,"-"],SelectIndividuals:[10,0,0,"-"],StatisticalTestFeatures:[10,0,0,"-"],StatisticalTestThreshold:[10,0,0,"-"],VarianceThreshold:[10,0,0,"-"]},"WORC.featureprocessing.ComBat":{ComBat:[10,1,1,""],ComBatMatlab:[10,1,1,""],ComBatPython:[10,1,1,""],Synthetictest:[10,1,1,""]},"WORC.featureprocessing.Decomposition":{Decomposition:[10,1,1,""]},"WORC.featureprocessing.FeatureConverter":{FeatureConverter:[10,1,1,""],convert_PREDICT:[10,1,1,""],convert_pyradiomics:[10,1,1,""],convert_pyradiomics_featurevector:[10,1,1,""]},"WORC.featureprocessing.ICCThreshold":{ICCThreshold:[10,2,1,""],convert_features_ICC_threshold:[10,1,1,""]},"WORC.featureprocessing.ICCThreshold.ICCThreshold":{__abstractmethods__:[10,3,1,""],__init__:[10,4,1,""],__module__:[10,3,1,""],fit:[10,4,1,""],transform:[10,4,1,""]},"WORC.featureprocessing.Imputer":{Imputer:[10,2,1,""]},"WORC.featureprocessing.Imputer.Imputer":{__dict__:[10,3,1,""],__init__:[10,4,1,""],__module__:[10,3,1,""],__weakref__:[10,3,1,""],fit:[10,4,1,""],transform:[10,4,1,""]},"WORC.featureprocessing.OneHotEncoderWrapper":{OneHotEncoderWrapper:[10,2,1,""],test:[10,1,1,""]},"WORC.featureprocessing.OneHotEncoderWrapper.OneHotEncoderWrapper":{__dict__:[10,3,1,""],__init__:[10,4,1,""],__module__:[10,3,1,""],__weakref__:[10,3,1,""],fit:[10,4,1,""],transform:[10,4,1,""]},"WORC.featureprocessing.Preprocessor":{Preprocessor:[10,2,1,""]},"WORC.featureprocessing.Preprocessor.Preprocessor":{__dict__:[10,3,1,""],__init__:[10,4,1,""],__module__:[10,3,1,""],__weakref__:[10,3,1,""],fit:[10,4,1,""],transform:[10,4,1,""]},"WORC.featureprocessing.Relief":{SelectMulticlassRelief:[10,2,1,""]},"WORC.featureprocessing.Relief.SelectMulticlassRelief":{__abstractmethods__:[10,3,1,""],__init__:[10,4,1,""],__module__:[10,3,1,""],fit:[10,4,1,""],multi_class_relief:[10,4,1,""],single_class_relief:[10,4,1,""],transform:[10,4,1,""]},"WORC.featureprocessing.Scalers":{LogStandardScaler:[10,2,1,""],RobustStandardScaler:[10,2,1,""],WORCScaler:[10,2,1,""],test:[10,1,1,""]},"WORC.featureprocessing.Scalers.LogStandardScaler":{__module__:[10,3,1,""],fit:[10,4,1,""]},"WORC.featureprocessing.Scalers.RobustStandardScaler":{__module__:[10,3,1,""],fit:[10,4,1,""]},"WORC.featureprocessing.Scalers.WORCScaler":{__init__:[10,4,1,""],__module__:[10,3,1,""],fit:[10,4,1,""],transform:[10,4,1,""]},"WORC.featureprocessing.SelectGroups":{SelectGroups:[10,2,1,""]},"WORC.featureprocessing.SelectGroups.SelectGroups":{__abstractmethods__:[10,3,1,""],__init__:[10,4,1,""],__module__:[10,3,1,""],fit:[10,4,1,""],transform:[10,4,1,""]},"WORC.featureprocessing.SelectIndividuals":{SelectIndividuals:[10,2,1,""]},"WORC.featureprocessing.SelectIndividuals.SelectIndividuals":{__abstractmethods__:[10,3,1,""],__init__:[10,4,1,""],__module__:[10,3,1,""],fit:[10,4,1,""],transform:[10,4,1,""]},"WORC.featureprocessing.StatisticalTestFeatures":{StatisticalTestFeatures:[10,1,1,""]},"WORC.featureprocessing.StatisticalTestThreshold":{StatisticalTestThreshold:[10,2,1,""]},"WORC.featureprocessing.StatisticalTestThreshold.StatisticalTestThreshold":{__abstractmethods__:[10,3,1,""],__init__:[10,4,1,""],__module__:[10,3,1,""],fit:[10,4,1,""],transform:[10,4,1,""]},"WORC.featureprocessing.VarianceThreshold":{VarianceThresholdMean:[10,2,1,""],selfeat_variance:[10,1,1,""]},"WORC.featureprocessing.VarianceThreshold.VarianceThresholdMean":{__abstractmethods__:[10,3,1,""],__init__:[10,4,1,""],__module__:[10,3,1,""],fit:[10,4,1,""],transform:[10,4,1,""]},"WORC.plotting":{compute_CI:[11,0,0,"-"],linstretch:[11,0,0,"-"],plot_ROC:[11,0,0,"-"],plot_barchart:[11,0,0,"-"],plot_boxplot_features:[11,0,0,"-"],plot_boxplot_performance:[11,0,0,"-"],plot_errors:[11,0,0,"-"],plot_estimator_performance:[11,0,0,"-"],plot_hyperparameters:[11,0,0,"-"],plot_images:[11,0,0,"-"],plot_pvalues_features:[11,0,0,"-"],plot_ranked_scores:[11,0,0,"-"],plotminmaxresponse:[11,0,0,"-"]},"WORC.plotting.compute_CI":{compute_confidence:[11,1,1,""],compute_confidence_bootstrap:[11,1,1,""],compute_confidence_logit:[11,1,1,""]},"WORC.plotting.linstretch":{linstretch:[11,1,1,""]},"WORC.plotting.plot_ROC":{curve_thresholding:[11,1,1,""],main:[11,1,1,""],plot_PRC_CIc:[11,1,1,""],plot_ROC:[11,1,1,""],plot_ROC_CIc:[11,1,1,""],plot_single_PRC:[11,1,1,""],plot_single_ROC:[11,1,1,""]},"WORC.plotting.plot_barchart":{count_parameters:[11,1,1,""],main:[11,1,1,""],paracheck:[11,1,1,""],plot_barchart:[11,1,1,""],plot_bars:[11,1,1,""]},"WORC.plotting.plot_boxplot_features":{generate_feature_boxplots:[11,1,1,""],plot_boxplot_features:[11,1,1,""]},"WORC.plotting.plot_boxplot_performance":{generate_performance_boxplots:[11,1,1,""],test:[11,1,1,""]},"WORC.plotting.plot_errors":{plot_errors:[11,1,1,""]},"WORC.plotting.plot_estimator_performance":{combine_multiple_estimators:[11,1,1,""],compute_statistics:[11,1,1,""],fit_thresholds:[11,1,1,""],main:[11,1,1,""],plot_estimator_performance:[11,1,1,""]},"WORC.plotting.plot_hyperparameters":{plot_hyperparameters:[11,1,1,""]},"WORC.plotting.plot_images":{bbox_2D:[11,1,1,""],extract_boundary:[11,1,1,""],plot_im_and_overlay:[11,1,1,""],slicer:[11,1,1,""]},"WORC.plotting.plot_pvalues_features":{manhattan_importance:[11,1,1,""]},"WORC.plotting.plot_ranked_scores":{example:[11,1,1,""],flatten_object:[11,1,1,""],main:[11,1,1,""],plot_ranked_images:[11,1,1,""],plot_ranked_percentages:[11,1,1,""],plot_ranked_posteriors:[11,1,1,""],plot_ranked_scores:[11,1,1,""]},"WORC.plotting.plotminmaxresponse":{main:[11,1,1,""]},"WORC.processing":{ExtractNLargestBlobsn:[12,0,0,"-"],classes:[12,0,0,"-"],helpers:[12,0,0,"-"],label_processing:[12,0,0,"-"],preprocessing:[12,0,0,"-"],segmentix:[12,0,0,"-"]},"WORC.processing.ExtractNLargestBlobsn":{ExtractNLargestBlobsn:[12,1,1,""]},"WORC.processing.classes":{"switch":[12,2,1,""]},"WORC.processing.classes.switch":{__dict__:[12,3,1,""],__init__:[12,4,1,""],__iter__:[12,4,1,""],__module__:[12,3,1,""],__weakref__:[12,3,1,""],match:[12,4,1,""]},"WORC.processing.helpers":{check_image_orientation:[12,1,1,""],resample_image:[12,1,1,""],transpose_image:[12,1,1,""]},"WORC.processing.label_processing":{findlabeldata:[12,1,1,""],load_config_XNAT:[12,1,1,""],load_label_XNAT:[12,1,1,""],load_label_csv:[12,1,1,""],load_label_txt:[12,1,1,""],load_labels:[12,1,1,""]},"WORC.processing.preprocessing":{bias_correct_image:[12,1,1,""],clip_image:[12,1,1,""],normalize_image:[12,1,1,""],preprocess:[12,1,1,""]},"WORC.processing.segmentix":{dilate_contour:[12,1,1,""],get_ring:[12,1,1,""],mask_contour:[12,1,1,""],segmentix:[12,1,1,""]},"WORC.resources":{fastr_tools:[15,0,0,"-"]},"WORC.resources.fastr_tests":{CalcFeatures_test:[14,0,0,"-"],elastix_test:[14,0,0,"-"],segmentix_test:[14,0,0,"-"]},"WORC.resources.fastr_tests.CalcFeatures_test":{create_network:[14,1,1,""],main:[14,1,1,""],sink_data:[14,1,1,""],source_data:[14,1,1,""]},"WORC.resources.fastr_tests.elastix_test":{create_network:[14,1,1,""],main:[14,1,1,""],sink_data:[14,1,1,""],source_data:[14,1,1,""]},"WORC.resources.fastr_tests.segmentix_test":{create_network:[14,1,1,""],main:[14,1,1,""],sink_data:[14,1,1,""],source_data:[14,1,1,""]},"WORC.statistics":{delong:[16,0,0,"-"]},"WORC.statistics.delong":{calc_pvalue:[16,1,1,""],compute_ground_truth_statistics:[16,1,1,""],compute_midrank:[16,1,1,""],compute_midrank_weight:[16,1,1,""],delong_roc_test:[16,1,1,""],delong_roc_variance:[16,1,1,""],fastDeLong:[16,1,1,""]},"WORC.tests":{WORCTutorialSimple_unittest_multiclass:[17,0,0,"-"],WORCTutorialSimple_unittest_regression:[17,0,0,"-"],test_combat:[17,0,0,"-"],test_helpers:[17,0,0,"-"],test_iccthreshold:[17,0,0,"-"],test_plot_errors:[17,0,0,"-"],test_validators:[17,0,0,"-"]},"WORC.tests.WORCTutorialSimple_unittest_multiclass":{main:[17,1,1,""]},"WORC.tests.WORCTutorialSimple_unittest_regression":{main:[17,1,1,""]},"WORC.tests.test_combat":{test_combat:[17,1,1,""],test_combat_fastr:[17,1,1,""]},"WORC.tests.test_helpers":{find_exampledatadir:[17,1,1,""],find_testdatadir:[17,1,1,""]},"WORC.tests.test_iccthreshold":{test_iccthreshold:[17,1,1,""]},"WORC.tests.test_plot_errors":{test_plot_errors:[17,1,1,""]},"WORC.tests.test_validators":{test_invalidlabelsvalidator_columnsubstring:[17,1,1,""],test_invalidlabelsvalidator_patientcolumn:[17,1,1,""],test_invalidlabelsvalidator_patientsubstring:[17,1,1,""],test_invalidlabelsvalidator_validconfig:[17,1,1,""]},"WORC.tools":{Elastix:[18,0,0,"-"],Evaluate:[18,0,0,"-"],Inference:[18,0,0,"-"],Slicer:[18,0,0,"-"],Transformix:[18,0,0,"-"],createfixedsplits:[18,0,0,"-"]},"WORC.tools.Elastix":{Elastix:[18,2,1,""]},"WORC.tools.Elastix.Elastix":{__dict__:[18,3,1,""],__init__:[18,4,1,""],__module__:[18,3,1,""],__weakref__:[18,3,1,""],addchangeorder:[18,4,1,""],create_bbox:[18,4,1,""],create_network:[18,4,1,""],execute:[18,4,1,""],getparametermap:[18,4,1,""]},"WORC.tools.Evaluate":{Evaluate:[18,2,1,""]},"WORC.tools.Evaluate.Evaluate":{__dict__:[18,3,1,""],__init__:[18,4,1,""],__module__:[18,3,1,""],__weakref__:[18,3,1,""],create_links_Addon:[18,4,1,""],create_links_Standalone:[18,4,1,""],create_network:[18,4,1,""],execute:[18,4,1,""],set:[18,4,1,""]},"WORC.tools.Inference":{Inference:[18,2,1,""]},"WORC.tools.Inference.Inference":{__dict__:[18,3,1,""],__init__:[18,4,1,""],__module__:[18,3,1,""],__weakref__:[18,3,1,""],create_network:[18,4,1,""]},"WORC.tools.Slicer":{Slicer:[18,2,1,""]},"WORC.tools.Slicer.Slicer":{__dict__:[18,3,1,""],__init__:[18,4,1,""],__module__:[18,3,1,""],__weakref__:[18,3,1,""],create_network:[18,4,1,""],execute:[18,4,1,""],set:[18,4,1,""]},"WORC.tools.Transformix":{Transformix:[18,2,1,""]},"WORC.tools.Transformix.Transformix":{__dict__:[18,3,1,""],__init__:[18,4,1,""],__module__:[18,3,1,""],__weakref__:[18,3,1,""],create_network:[18,4,1,""],execute:[18,4,1,""]},"WORC.tools.createfixedsplits":{createfixedsplits:[18,1,1,""]},"WORC.validators":{preflightcheck:[19,0,0,"-"]},"WORC.validators.preflightcheck":{AbstractValidator:[19,2,1,""],EvaluateValidator:[19,2,1,""],InvalidLabelsValidator:[19,2,1,""],MinSubjectsValidator:[19,2,1,""],SamplesWarning:[19,2,1,""],SimpleValidator:[19,2,1,""],ValidatorsFactory:[19,2,1,""]},"WORC.validators.preflightcheck.AbstractValidator":{__abstractmethods__:[19,3,1,""],__dict__:[19,3,1,""],__module__:[19,3,1,""],__weakref__:[19,3,1,""],do_validation:[19,4,1,""]},"WORC.validators.preflightcheck.EvaluateValidator":{__abstractmethods__:[19,3,1,""],__module__:[19,3,1,""]},"WORC.validators.preflightcheck.InvalidLabelsValidator":{__abstractmethods__:[19,3,1,""],__module__:[19,3,1,""]},"WORC.validators.preflightcheck.MinSubjectsValidator":{__abstractmethods__:[19,3,1,""],__module__:[19,3,1,""]},"WORC.validators.preflightcheck.SamplesWarning":{__abstractmethods__:[19,3,1,""],__module__:[19,3,1,""]},"WORC.validators.preflightcheck.SimpleValidator":{__abstractmethods__:[19,3,1,""],__module__:[19,3,1,""]},"WORC.validators.preflightcheck.ValidatorsFactory":{__dict__:[19,3,1,""],__module__:[19,3,1,""],__weakref__:[19,3,1,""],factor_validators:[19,6,1,""]},WORC:{WORC:[0,0,0,"-"],__init__:[0,0,0,"-"],addexceptions:[0,0,0,"-"],classification:[2,0,0,"-"],facade:[7,0,0,"-"],featureprocessing:[10,0,0,"-"],plotting:[11,0,0,"-"]}},objnames:{"0":["py","module","Python module"],"1":["py","function","Python function"],"2":["py","class","Python class"],"3":["py","attribute","Python attribute"],"4":["py","method","Python method"],"5":["py","exception","Python exception"],"6":["py","staticmethod","Python static method"]},objtypes:{"0":"py:module","1":"py:function","2":"py:class","3":"py:attribute","4":"py:method","5":"py:exception","6":"py:staticmethod"},terms:{"0284186x":10,"06875v1":10,"0a1":67,"0rc1":60,"105741d":60,"1st":2,"1x1x1":[51,61,63],"22nd":71,"2nd":[2,67],"5th":10,"95th":10,"95varianc":[34,35,63],"98nd":67,"boolean":[0,1,2,7,10,11,12,20,26,32,34,40,44,48,52,53,58,60,62,63],"case":[2,12,25,62,63,65,67,71],"catch":[0,62],"class":[0,2,4,7,8,10,16,18,19,60,61,62,65,71],"default":[0,1,2,7,10,11,12,18,20,22,23,24,26,28,29,30,32,34,36,38,40,42,44,46,48,50,52,54,56,58,61,62,63,65,67,70,71],"export":[0,60,69],"final":[2,10,12,63,71],"float":[2,10,11,12,16,22,26,34,40,42,43,50,52,54,62,63,67],"function":[0,2,4,7,8,10,11,12,17,18,19,23,51,60,62,63,64,65,66,67,68,70,71],"gr\u00fcnhagen":60,"import":[2,10,35,60,62,63,69,71],"int":[2,10,12],"long":67,"new":[0,60,62,67,69],"return":[0,1,2,10,11,12,16,62,65],"short":67,"static":[19,43,63],"switch":[10,12,62],"throw":[62,67],"true":[0,2,5,7,10,11,12,22,27,30,33,34,38,39,41,42,44,45,49,50,51,52,56,58,59,61,63,70,71],"try":[2,61,69],"while":[2,12,41,61,62,63,67],Added:60,Adding:60,Age:70,And:10,Els:[],For:[0,2,7,10,23,43,49,60,61,62,63,64,65,66,67,69,70,71],IDs:[12,66],Not:[2,7,62,69],One:[2,55,62,63],PCs:[23,63],SVs:[],That:10,The:[0,1,2,7,10,11,12,16,27,35,47,60,61,62,63,64,65,66,67,68,69],Then:2,There:[62,70,71],These:[11,63,65,67,70,71],USING:60,Use:[2,7,20,21,23,28,29,32,33,48,49,54,55,62,63,67,70],Using:[60,69],Vos:60,Was:62,Will:7,With:60,__abstractmethods__:[2,4,10,19],__dict__:[0,2,4,7,8,10,12,18,19],__doc__:[0,2,4,7,8,10,12,18,19],__file__:70,__init__:[0,2,4,7,8,10,12,18],__iter__:[2,12],__len__:2,__module__:[0,2,4,7,8,10,12,18,19],__weakref__:[0,2,4,7,8,10,12,18,19],_abc_data:[4,19],_abc_impl:[4,19],_base:10,_cluster_config_overrid:8,_data:10,_debug_config_overrid:8,_format_result:2,_generate_detector_messag:[4,19],_is_detect:4,_set_and_validate_estim:7,_valid:[7,19],abbrevi:[23,63],abc:[4,19],abl:62,about:67,abov:[2,10,61,62,63,67,69,70,71],absolut:62,abspath:70,abstractdetector:4,abstractvalid:19,accept:[2,40,62,63],accorad:2,accord:[2,10,11,67,70,71],accordingli:[61,70],account:[10,11,71],accur:[2,4,8,10,12,18],accuraci:[2,11,71],acquisit:[61,69],across:2,act:63,actual:[0,2,7,31,60,61,62,63,64,65,69,71],adaboost:[23,61,62,63],adaboost_learning_r:[22,23,63],adaboost_n_estim:[22,23,63],adaboostclassifi:[22,63],adaboostregressor:[22,63],adapt:[60,61,69],adasyn:[2,54,62,63],add:[0,2,7,10,18,62,65,66,67,68,70,71],add_combat:0,add_config_overrid:7,add_elastix:0,add_elastix_sourcesandsink:0,add_evalu:[0,7,70,71],add_feature_calcul:[0,65],add_parameters_to_grid:2,add_preprocess:0,add_segmentix:0,add_tool:0,addchangeord:18,added:[10,18,25,62,63,65,71],addexcept:60,addinf:62,adding:[2,18,63,65,70,71],addit:[0,7,39,60,62,63,67,70,71],addition:[1,10,11,61,62,63,71],address:60,adequ:65,adher:62,adjust:[2,11,62,63,71],adopt:[2,16,55,62,63],advanc:[60,70,71],advancedsampl:[0,60],advantag:63,advic:[53,61,63,65,70,71],affect:2,affin:18,after:[0,2,10,39,61,62,63,65,66,67,70,71],afterward:[7,10],again:[63,67,69,70],age:[42,63,67,71],agesex:11,aggreg:67,agument:12,aim:60,aka:71,alejandro:67,alex:67,algorithm:[16,61,62,63,69],align:[61,71],all:[0,1,2,7,10,11,12,22,25,39,41,45,49,54,58,59,61,62,63,64,65,66,67,69,70,71],allign:71,allow:[2,7,62,66,67,68],allow_non:2,along:[10,69],alpha:11,alpha_new:[],alpha_old:[],alreadi:[61,63,69,71],als:71,also:[0,2,7,10,35,55,60,61,62,63,65,66,67,69,70,71],alter:[2,12,62,63,67],altern:[66,71],although:69,altner:66,alwai:[2,10,62,69,70,71],aminn:61,among:[2,10,11,60,63],amount:[67,69],anaconda:[66,70],analys:70,analysi:[35,60,63,67,71],analyticsvidhya:63,angl:[43,63,67],angu:60,angular:67,ani:[2,10,11,22,40,49,62,63,66,67,69,70,71],annual:60,anoth:[12,61,69,71],anova:2,any_structur:[],anymor:62,anyth:69,anywai:10,apach:60,api:[55,63],appear:67,append:[62,63,66,71],appendix:[],appli:[0,2,7,10,12,39,51,61,62,63,67,69],applic:[12,60,67,69],approach:[10,60,61,63,69],appropri:0,arbitrari:67,area:[16,61,67,71],arg:[1,2,4,12,16,19],argmax:11,argu:67,argument:[0,1,2,12,62,65,66],arif:60,around:[2,7,18,57,61,63,65,71],arrai:[1,2,10,11,12,16,60],artefact:67,articl:[16,60,67],arxiv:[10,60,61],asm:67,aspect:67,assertionerror:0,assess:[7,10,62],assign:[2,41,43,63],assist:[60,67],associ:2,assum:[2,10,51,61,63,66,69,70,71],assumesameimageandmaskmetadata:[12,38,39,63],assumpt:[2,39,63,71],attribut:[0,2,4,7,8,10,12,18,19,60,62],atyp:71,auc:[2,16,61,71],author:16,auto:[2,54,63],autoencod:61,autom:60,automat:[0,7,12,41,60,61,62,63,67,69,70],avail:[2,7,62,64,69],averag:[11,62],average_precision_weight:[40,63],avoid:[2,61,67],awai:67,axes:67,axi:[10,11,51,63,67],axial:[11,12,50,51,52,57,61,62,63,67],back:[62,66],backend:[39,62,63],backward:62,balanc:71,band:[7,71],bangma:60,barchart:[11,62,71],base:[0,2,4,5,7,8,10,11,12,18,19,35,51,61,62,63,67,71],baseestim:[2,10],baselin:69,basesearchcv:2,basesearchcvfastr:2,basesearchcvjoblib:2,basestr:7,basi:71,basic:[65,67,69,71],basicworc:[0,60,62,66,70,71],batch:[10,24,25,61,63],bay:[25,61,63],bbox_2d:11,bca:71,bcr:61,been:[0,10,11,60,61,67,69,70],befor:[0,2,7,10,43,61,62,63,66,67,69,70],beforehand:67,begin:[60,62],beginn:60,behavior:2,behaviour:62,being:[16,51,61,63],belong:[0,2,10],below:[0,2,35,49,61,63,66,67,69,70,71],benefit:[61,67,69],bengio:71,benign:60,bent:60,berlin:67,besid:[0,60,63,71],best:[2,11,62,63,64,69],best_estim:2,best_estimator_:2,best_index_:2,best_params_:2,best_score_:2,beta:2,better:[61,62],between:[2,10,18,22,23,35,43,60,61,62,63,67],bia:[12,51,61,62,63],bias_correct_imag:12,biascorrect:[50,51,63],biascorrection_mask:[50,51,63],big:62,bigr:[7,41,60,63,70],bigr_erasmusmc:2,bigrclusterdetector:4,bin:[53,60,63,65],binari:[2,7,10,11,12,60,61,62,70],binaru:70,binary_classif:[0,7,18,70],binaryimag:12,bincount:[52,53,63],binwidth:[52,53,63],bio:[],biomark:[60,67,69],biomed:60,bit:62,bitbucket:2,bitwise_xor:62,black:60,blazev:60,blob:[12,57,61,63,65],block:70,blog:63,bme:[],bmia:70,boht:67,bonferonni:10,book:60,bool:2,boolean_uniform:2,boost:[23,61,62,63],boostrap:62,bootstrap:[3,11,21,60,62,71],bootstrap_metr:11,bootstrap_n:11,border:61,borderlinesmot:[2,54,63],both:[2,11,60,61,62,63,65,67,69,71],bound:[12,18],boundari:[10,11,12,35,43,63],box:[18,60,63],boxplot:[11,62],braband:60,braf:60,branch:[0,23,63],breviti:70,british:60,broad:67,brought:69,bspline:61,bug:62,bugfix:62,buggi:62,build:[0,18,60,62,69,70,71],build_config:8,build_train:0,built:70,buisman:60,bulletin:10,busy:67,button:60,c_valu:[],cache_s:2,cad:2,caddementia:2,calc_pvalu:16,calcfeat_nod:0,calcfeatur:[38,62,63],calcfeatures_test:[0,13],calcul:[0,2,10,11,39,63,65],call:[2,62,65,67,70,71],callabl:2,can:[0,2,7,10,11,12,18,35,39,43,45,51,60,61,62,63,65,67,69,70,71],cancer:[60,67],candid:2,cannot:[2,60,61,62],captur:61,carcinoma:[],cardin:62,cartesiu:[7,70],cartesiusclusterdetector:4,caruana:[2,11],cash:[63,69],cast:62,castillo:60,categor:[10,62],categori:71,caught:7,caus:61,center:[60,61,67],centr:67,certain:[2,7,18,61,62,63,67,71],cf_:10,cf_pyradiom:[38,63],challeg:2,challeng:[2,71],chang:[7,60,61,63,65,67,70],changelog:60,chapter:[7,60,61,63,64,66,67,68,70,71],characterist:[11,16,71],check:[2,7,12,49,51,61,62,63,65,71],check_image_orient:12,check_multimetric_scor:2,check_scor:2,checkorient:[50,51,63],checkspac:[50,51,63],chen:61,chi2:62,child:[23,63],choic:[2,60,69],choos:[2,51,62,63],chosen:[2,63,67],chunk:2,chunksdict:2,circular:67,cit1:61,cit2:61,cit3:61,class_i:2,class_j:2,class_weight:2,classfic:[41,63],classif:[0,3,7,23,47,62,65,66,67,70,71],classifi:[0,2,11,22,23,33,60,61,62,63,66,71],classifier_data:2,classifiermixin:[],classpi:2,clean:[55,62,63],clf:2,clinic:69,clip:[12,50,51,61,62,63],clip_imag:12,clipping_rang:[50,51,63],clone:70,closest:[],cluster:[2,7,23,41,60,62,63,69,70],cnb_alpha:[22,23,63],coars:[7,67,70],coarse_overrid:8,code:[61,63,70],coef0:2,coeffici:[10,61,71],col:[23,63],coliag:[42,43,59,63],coliage_featur:[10,58,59,63],coliage_features_:10,collabor:60,colleagu:69,color:11,colorect:60,column:[2,7,10,60,67,71],com:[7,10,16,39,60,61,62,63,65,66,67,70,71],combat:[0,3,17,25,38,39,60,62],combatharmon:[10,39,63],combatmatlab:10,combatpython:10,combin:[1,2,10,11,25,32,33,60,61,62,63,64,67,69,71],combine_featur:1,combine_method:[1,32,33,63],combine_multiple_estim:11,comma:[2,10,22,24,36,37,42,63],command:[0,2,10,18,60,62,63,65,66,69,70],common:[2,7],commonli:[61,67],commun:70,compact:67,compar:[16,69],comparison:[60,67],compat:[1,8,10,12,61,62,65],compens:61,complement_label_1:70,complementari:67,complementnb:[23,63],complementnd:[22,63],complet:[62,63,70,71],complex:[67,71],compon:[10,18,35,61,63,69,71],comprehens:[61,64,67],comput:[0,2,7,10,11,16,17,43,53,60,61,62,63,67,69,70,71],compute_ci:[0,60],compute_confid:11,compute_confidence_bootstrap:11,compute_confidence_logit:11,compute_ground_truth_statist:16,compute_midrank:16,compute_midrank_weight:16,compute_statist:11,concept:[60,69],concern:69,concord:71,conda:66,condit:66,conduct:[2,62,71],confer:[60,67,71],conffid:62,confid:[7,11,62,71],config:[0,1,2,7,8,10,11,12,18,23,35,61,62,63,64,65,66,67,70,71],config_file_path:[1,6,12],config_io_classifi:[0,60,65],config_io_combat:[0,60],config_io_pyradiom:[0,60],config_preprocess:[0,60],config_segmentix:[0,60],config_worc:[0,60],configbuild:[0,7,62],configpars:[0,12,63],configur:[0,1,2,7,10,60,61,62,65,66,68,70,71],confipars:1,congress:60,congruenc:67,connect:[],consist:[2,40,41,63,70,71],consol:8,constant:[10,44,63,69],construct:[2,7,11,60,70],construct_classifi:[0,60],construct_svm:2,consumpt:2,contain:[0,1,2,7,10,11,12,37,62,63,66,67,70,71],containingfor:2,content:[8,12,60,67],continu:[2,61,62,70],contour:[11,12,57,61,63],contrast:[2,67],contribut:60,control:2,converg:[11,62],convers:62,convert:[1,8,10,62,65,67],convert_config_pyradiom:1,convert_features_icc_threshold:10,convert_predict:10,convert_pyradiom:10,convert_pyradiomics_featurevector:10,convert_radiomix_featur:8,convex:67,cope:61,copi:[0,2,10,12,39,60,61,62,63,65],copymetadata:0,core:[2,7,39,41,62,63,67,70],coron:[52,63],correct:[12,25,51,61,62,63,71],correctli:[11,62,66,71],correl:[10,16,61,67,69,71],correspond:[2,10,11,41,53,62,63,66,67,71],cost:[],could:[62,66,67,69],count:[7,53,63,67],count_num_subject:7,count_paramet:11,coupl:71,cours:71,covari:16,cox:71,cpu:2,crash:[60,62,70],creat:[0,2,5,7,11,18,62,63,66,67,69,70,71],creata:2,create_bbox:18,create_ensembl:[2,62],create_example_data:[0,60,71],create_links_addon:18,create_links_standalon:18,create_network:[14,18],create_param_grid:2,create_random_featur:5,create_sourc:63,createfixedsplit:[0,60],creation:[60,62,67],criteria:60,criterion:2,crop:69,cross:[0,2,11,18,27,39,41,62,63,71],cross_valid:[38,39,63],crossval:[0,60],crossval_typ:11,crossvalid:[3,60],csv:[7,10,11,62,70,71],csv_file_path:4,csv_out:10,csvdetector:4,ct001:0,ct002:0,cto:[],current:[0,2,10,12,27,33,51,60,61,62,63,66,69,71],curv:[7,11,16,61,62,71],curve_threshold:11,custom:[2,52,53,63],custom_config_overrid:8,cv_iter:2,cv_results_:2,cyan:11,dai:66,dat:10,data:[0,2,10,11,12,17,27,60,61,62,63,66,67,69,70],data_path:70,datadir:70,datadownload:[0,60,62,70],datafil:62,datafold:[5,70],datafram:[2,11],dataset:[0,2,7,31,39,41,60,61,62,63,69,70,71],datatyp:[62,65,68],datayp:62,david:61,dcm:12,deal:[61,62],debug:[11,39,60,62,63,70],debugdetector:4,decent:69,decid:[67,69],decision_funct:2,decision_function_shap:2,decod:67,decomposit:[0,7,60,62,71],decompositon:62,default_queu:66,default_scor:2,defaultconfig:[0,8,63,65,71],defin:[0,2,4,7,8,10,12,18,19,35,57,61,63,64,65,67,69,70,71],definit:[10,60,67],degre:[2,23,43,63,67],del:70,delai:2,delet:[2,60,62,65],delete_cc_para:2,delete_nonestimator_paramet:2,delong:[0,60],delong_roc_test:16,delong_roc_vari:16,demand:2,dementia:2,demo_param:[],demonst:[],demonstr:61,den:60,depend:[0,2,11,60,62,66,69,71],deprec:62,depth:[23,63],der:60,descent:61,describ:[0,64,67,68,71],descript:[2,10,21,23,25,27,29,31,33,35,37,39,41,43,45,47,49,51,53,55,57,59,61,63,65,67,70],descriptor:67,design:[61,69],desmoid:60,despit:60,detail:[7,11,12,60,61,63,66,67,71],detect:[10,62,66,67],detector:[0,7,60,62,70],determin:[1,2,7,11,12,21,29,33,35,37,39,43,45,47,49,51,53,57,60,62,63,67,69,70,71],determinist:2,develop:[2,67,69],developp:62,deviat:[10,43,63,67],df_:10,diagnosi:60,diagnost:60,diamet:67,dicom:[0,42,43,51,59,60,61,62,63,71],dicom_featur:[10,58,59,62,63],dicom_feature_label:[42,43,63,67],dicom_feature_tag:[42,43,63,67],dict:[0,1,2,10,12],dictionari:[0,1,2,7,11,12,62,63,66,71],did:[62,65,69,71],didn:62,differ:[2,11,12,16,60,61,62,69],differenti:60,difficult:69,difscal:10,digit:67,dilat:[12,51,56,57,61,62,63,71],dilate_contour:12,dilate_roi:12,dimens:67,dimension:69,direct:[62,67],directli:[7,62,67,69,70,71],directori:[0,7,63,70],dirnam:70,disabl:[53,62,63],disc:[51,57,63],discret:[43,63,67],discrete_uniform:2,discrimin:60,discuss:[61,67,71],dispatch:2,dissimilar:67,distanc:[10,35,43,63,67],distance_p:10,distinguish:[2,60,71],distribut:[2,61,62,65,70,71],distrubit:2,divers:69,divid:[61,69],do_detect:4,do_test_rs_ensembl:2,do_valid:19,doc:65,docstr:[70,71],doctest:2,document:[2,7,10,62,64,66,70,71],doe:[2,10,62,63,66,67],doi:10,doing:[2,63],don:70,done:[0,2,61,62,63,64,65,66,67,69,71],down:62,download:[62,70],download_headandneck:[5,70],download_project:5,download_subject:5,dpi:11,draw_network:71,drawback:67,drawn:[2,41,63],drmaa:[41,63],drmaaplugin:66,drop:62,drug:67,dti:62,dtrf:[],due:[2,61,62,69],dummi:[62,66],dure:[2,41,62,63,66],dwarkas:60,e104:67,e107:67,each:[2,7,10,11,12,43,61,62,63,66,67,69,70,71],earlier:[67,70],easi:[60,69],easier:[62,69,71],easili:[62,63,69,70,71],echo:67,ecr:60,edg:[43,63,67],edit:[70,71],editelastixtransformfil:62,edwardo:2,effect:60,effici:[2,62,67],effort:69,efron:71,eigen:[22,63],either:[0,2,10,11,25,35,63,70,71],ejrad:[],elast:61,elasticnet:[22,23,62,63],elasticnet_alpha:[22,23,63],elasticnet_l1_ratio:[22,23,63],elastix4:[38,63],elastix:[0,38,60,61,62,63,71],elastix_para:[0,61],elastix_test:[0,13],elastixmodelzoo:61,electr:67,element:[10,35,51,61,63,71],elif:[66,70],ellip:67,ellipsi:2,ellipt:67,elong:67,els:[65,66],emb:65,embed:[61,62,64],emper:[25,63],emphasi:67,empir:[61,71],emploi:2,empti:2,emptygraylevel:66,enabl:[2,7,53,63],encod:[2,49,63],end:[60,65,66],energi:67,engin:[2,69],enhanc:67,enough:2,ensembl:[2,3,11,18,29,41,60,62,69],ensemble_scor:11,ensur:0,enter:[2,12],entir:2,entri:60,entropi:67,environ:66,epsilon_insensit:[22,63],equal:[2,10,23,25,29,51,63,67],erasmu:69,error:[2,7,11,17,60,61,62,67,70,71],error_scor:2,especi:[2,39,60,62,63],establish:[60,67],estim:[2,7,8,11,18,22,23,29,35,41,61,62,63],estimator_input:2,estimator_scoring_overrid:8,estsiz:11,etc:[2,10,11,60],etcetera:70,european:60,eusomii:60,evalu:[0,2,3,7,11,31,41,60,61,62,70],evaluatevalid:19,even:67,everi:[39,63,69],everywher:65,exact:2,exactli:[66,70],exampl:[0,2,7,11,12,16,17,18,49,60,61,62,63,66,67,69,70],example_stwstrategyhn:70,exampledata:[0,60,70,71],examplefil:70,excel:[67,71],except:[0,7,62],exclud:[10,25,33,35,63],excluded_featur:[24,25,63],exclus:[61,70],exctract:67,exe:[24,63],execut:[0,2,7,17,18,22,23,25,60,62,63,65,69,70],execute_first:8,executionplugin:66,exhaust:2,exist:[18,62,69],exp:[],exp_uniform:2,expand:[11,62,67],expect:[66,69,70],expected_hostnam:4,experi:[2,7,17,60,62,67,71],experiment:[31,63],experiment_fold:70,experiment_nam:70,expert:67,explain:[35,63,66],explant:67,explicit:2,explor:[2,70],explos:2,expon:[2,23,63],export_hyper_params_to_latex:6,express:2,extens:[62,69,70],extrac:61,extract:[1,2,7,10,11,12,43,53,57,60,61,62,63,66,69,71],extract_boundari:11,extract_firstord:[52,53,63],extract_shap:[52,53,63],extractnlargestblobsn:[0,60],extractor:[52,53,63],extrat:12,extrem:61,f1_score:62,f1_weight:[2,7,40,63],f1_weighted_predictproba:[2,40,63],f6d255a45dd:63,facad:[0,8,60,62,70,71],facilit:[60,69],factor_valid:19,fail:62,fals:[1,2,5,10,11,12,18,20,22,23,26,30,32,38,40,42,45,48,50,51,52,56,58,60,63,70],familiar:69,fancyimput:10,faq:[60,62],fashion:70,fast:[2,16,60],fastdelong:16,fastr3:62,fastr:[0,2,7,18,22,23,41,60,62,63,65,66,70,71],fastr_plugin:[0,2,18,22,23,63],fastr_tempdir:[0,63],fastr_test:[0,13],fastr_tool:[0,13],fastrconfig:[0,60,63,71],fastrhom:63,fat:67,fator:2,fatsat:67,fault:62,feat:1,feat_in:10,feat_out:10,feat_out_0:60,feat_test:2,feat_train:2,featpreprocess:[3,60],featsel:[3,60,66],featur:[0,1,2,5,7,8,10,11,12,17,18,25,33,35,37,39,43,45,49,52,53,59,60,62,63,69,70],feature:66,feature_dict:66,feature_fil:[7,70],feature_file_nam:7,feature_label:[2,10,11,66,70],feature_label_1:[],feature_label_2:[],feature_labels_tofit:[10,48,49,63],feature_select:[10,35,62,63],feature_set:10,feature_valu:[2,10,66,70],featurecalcul:[38,39,63,65],featureconvert:[0,60,65],featurefil:[1,11],featurefile_p1:70,featurenam:11,featureprocess:[0,60,65,66],features_:70,features_from_radiomix_xlsx:7,features_from_this_directori:[7,66,70],features_in:10,features_mod1_patient1:1,features_mod1_patient2:1,features_mod2_patient1:1,features_mod2_patient2:1,features_out:10,features_p1:70,features_test:71,features_test_in:10,features_test_out:10,features_train:[66,71],features_train_in:10,features_train_out:10,featuresc:[3,60],featuresdatadir:[66,70],featurespatient1:66,featurespatient2:66,featurevector:10,feel:[69,70],fellow:69,felt:69,fetur:[12,67],few:69,fewer:67,fibromatosi:60,fibrosi:60,fiduzi:[],field:[1,2,10,12,37,49,61,62,63,65,67,69,70],fig:11,figsiz:11,figur:[11,62,69],figwidth:11,fij:10,file1:[2,10],file2:[2,10],file3:[2,10],file:[0,1,2,5,7,10,11,12,47,60,61,62,63,65,67,70],file_io:[0,60,62],file_path:7,filenam:[11,12,61,66,71],filepath:[11,62],filesmatlabr2015bbinmatlab:[24,63],filesystem:62,fill:[57,61,63],fill_valu:10,fillhol:[56,57,63],filter:[43,60,63,69],finalbsplineinterpolationord:62,find:[2,17,60,62,64,66,69,70],find_exampledatadir:17,find_testdatadir:17,findlabeldata:12,first:[7,10,11,16,35,53,60,61,62,63,67,69,70,71],fit:[2,10,31,41,62,63,64,65,67,71],fit_and_scor:[2,64,65],fit_param:2,fit_threshold:11,fit_tim:2,fitandscor:[0,60,62,64,65],fitfailedwarn:2,fittd:2,fitted_workflow:2,five:[65,69],fix:[2,11,18,27,35,53,60,61,63,66,69,71],fixandscor:62,fixed_se:[2,26,27,63],fixed_splits_csv:7,fixedsplit:2,flag:62,flat:67,flatten:[11,62],flatten_object:11,fleiss:10,flexibl:[62,69],flip:[11,67],fluctuat:67,focu:71,focuss:71,fold:2,folder:[2,8,11,17,62,63,65,66,70,71],follow:[2,10,11,60,61,63,65,66,67,69,70,71],fontsiz:[10,11],force2d:[52,53,63],force2ddimens:[52,53,63],foremost:67,foresight:69,forest:[35,61,63],fork:66,form:[61,67],format:[0,1,2,5,7,8,10,11,12,60,61,62,63,65,71],formula:2,forward:69,found:[2,60,61,62,63,69,70,71],foundat:[],four:69,fpr:11,fracf_:10,fractal:[59,62,63],fractal_featur:[10,58,59,63],framework:[60,62,69],frangi:[43,63,67],free:70,freeli:71,frequenc:[43,63,67],frequent:[10,61],from:[0,1,2,7,8,10,11,12,16,22,25,39,41,43,47,57,60,61,62,63,65,66,67,69,70,71],frozenset:[2,4,10,19],fulfil:2,full:[7,8,11,12,39,50,51,60,61,62,63,70],fulli:[7,60,62],fullprint:8,fun:69,function_bas:60,funtion:10,further:62,furthermor:67,futur:62,gabor:[10,43,59,60,62,63],gabor_angl:[42,43,63,67],gabor_frequ:[42,43,63,67],gamma:[2,23,63],garcia:2,gastrointestin:60,gather:11,gaussian:[53,60,63],gaussiannb:[22,63],gave:[2,62],gclm:[49,63,67],gener:[0,2,3,7,10,11,22,23,28,35,51,60,61,62,65,66,67,69,71],generalis:61,generaliz:60,generate_config:65,generate_feature_boxplot:11,generate_performance_boxplot:11,genet:[12,71],geometrytoler:[52,53,63],get:[2,11,12,60,69,70,71],get_r:12,getparametermap:18,gibhub:60,git:70,github:[1,2,7,10,11,12,16,39,60,61,62,63,65,66,70,71],give:[2,49,61,62,63,66,67,69,70,71],given:[0,2,7,10,11,41,43,60,62,63,65,67,70,71],glcm:[43,49,53,59,60,63,66],glcm_:10,glcm_angl:[42,43,63,67],glcm_distanc:[42,43,63,67],glcm_level:[42,43,63,67],glcmm:67,glcmms_:10,gldm:[53,59,60,63,66],gldzm:[59,62,63],gldzm_:10,glob:[7,70],glrlm:[43,53,59,60,63,66],glrlm_:10,glszm:[43,53,59,60,63,66],glszm_:10,gmean:[40,63],going:69,good:71,grade:60,gradient:61,grahpviz:62,grai:60,grand:2,graphviz:62,grayscal:[43,63],grid:[2,41,63],grid_scor:62,gridsearch:[23,63],gridsearchcv:2,gridsearchcvfastr:2,gridsearchcvjoblib:2,griethuysen:67,grlm:67,ground:[11,71],ground_truth:16,groundtruth:2,group:[2,10,35,61,62,63,66,67,69,71],groupsel:[2,65],groupwis:[2,62,66,67,71],groupwisesearch:[34,35,63,66],growth:60,gsout:2,guarante:2,guid:[2,60,63,66],guidelin:71,hack:66,had:[62,69],haibo:2,halton:2,haltonsampl:2,hand:[61,69],handbook:60,handl:[10,62],handle_unknown:10,hanff:60,happen:67,harmon:[0,10,17,39,60,61,62,63],has:[0,2,7,10,51,60,63,66,67,69],have:[0,2,10,11,12,35,39,60,61,62,63,65,66,67,69,70,71],hdf5:[1,2,7,8,10,11,60,70,71],head:[70,71],header:[0,2,7,67,71],heidelberg:67,held:2,help:[2,4,8,10,12,18,62,71],helper:[0,7,60],henc:[2,7,10,11,61,62,63,65,67,69,71],hepatocellular:[],herder:60,here:[2,61,63,64,65,67,70,71],heterogen:61,hf_:10,hf_mean:10,high:[60,67,69,70],higher:2,highest:2,highli:[2,69],highlight:[52,53,63],hing:[22,63],histogram:[2,42,43,59,60,63],histogram_featur:[10,58,59,63],histopatholog:60,histori:69,hofland:60,hold:[0,2],hole:[57,61,63],home:62,homogen:[23,63,67],hope:60,horribl:70,hospit:[24,61,63],host:60,hostnamedetector:4,hot:[49,63],hounsfield:63,how:[1,2,11,12,29,43,57,62,63,65,66,67,69,70,71],howev:[2,61,63,65,67,69,71],htm:63,html:[0,10,22,23,35,43,52,53,61,63],http:[0,2,7,10,16,22,23,35,39,43,52,53,55,60,61,62,63,65,66,70,71],huber:[22,63],hyper:[2,63],hyper_params_export:[0,60],hyperoptim:[3,29,41,60,61,62],hyperparamat:2,hyperparamet:[2,11,41,62,63,64,67,69],hypothes:67,hypothesi:16,i_max:11,i_min:11,icc:[2,10,17,62,71],icc_anova:2,iccthreshold:[0,60],icctyp:[2,10],idea:[69,71],ident:2,identifi:[7,70],ids:[2,12],ieee:[2,16,60,61,67],ignor:[10,63],iid:2,iivarinen:67,illustr:69,imag:[0,2,7,11,12,18,39,43,51,53,60,62,63,66,69,70],image_featur:[2,10,11,66],image_features_test:2,image_features_train:2,image_file_nam:[7,70],image_mr:71,image_typ:[42,43,63],imagedatadir:70,imagefeatur:[3,60,67,71],imagefil:12,images1:71,images_from_this_directori:[7,70],images_test:71,images_train:[0,7,71],imagetyp:63,imaginary_label_1:70,imbalanc:[2,55,62,63],img2:11,img:[11,12],immedi:2,implement:[0,2,7,10,12,16,23,25,63,69,71],implicitli:69,imposs:2,improv:[2,67],imput:[0,2,3,45,60,62,65,69],imputat:2,incekara:60,includ:[0,2,7,12,29,33,61,62,63,65,66,67,69,70,71],incompat:[53,63],incorpor:62,incorrect:[51,62,63],incorrectli:[11,62,71],increas:[2,41,62,63],inde:67,independ:[69,71],index:[2,10,11,60,63,66,67,71],indexerror:[0,60],indic:[2,12],individu:2,ineffici:69,infer:[0,41,60,63,71],infinit:62,influenc:67,info:[7,63,66],inform:[2,10,11,39,60,61,63,65,67,70,71],informat:60,ini:[0,1,2,10,12,62,63,65],init:[10,65],init_adasyn:2,init_borderlinesmot:2,init_nearmiss:2,init_neighbourhoodcleaningrul:2,init_randomoversampl:2,init_randomundersampl:2,init_smot:2,init_smoteenn:2,init_smotetomek:2,initi:[0,2,4,7,8,10,12,18,62,67],inner:[43,61,63,67],input:[0,2,7,10,11,12,18,60,62,63,65,66,69],input_fil:[8,12],inputarrai:10,inset:62,insight:71,insightsoftwareconsortium:62,inspect:62,instal:[60,61,62,63],instanc:[0,2,61],instanti:2,instead:[2,53,60,61,62,63,67,70,71],integ:[2,7,10,11,12,20,22,26,28,29,34,38,40,41,42,43,44,45,50,52,53,54,56,60,62,63],integr:[60,62,69],intellig:67,intens:[12,51,53,61,63,67],inter:[2,10,61],interact:[7,60,62,70],interest:[7,67],interfac:2,intermed:11,intermedi:2,intermediatefacad:62,intern:[60,67,71],interpol:[12,52,53,63],interpret:[65,69],interquartil:67,interv:[7,11,62,71],intervent:[60,67],intra:[2,10],intraclass:[10,71],introduc:70,introduct:[60,70],introductori:69,invalidcsvfileexcept:8,invalidlabelsvalid:19,invalidorderexcept:8,invari:67,inverse_transform:2,involv:2,ioerror:0,iopars:[0,2,60,65],ioplugin:0,iqr:61,iri:2,is_empti:[],is_multimetr:2,is_train:7,isbi:60,isi:71,isn:62,issu:[60,62,66,69,70,71],item:[0,2,10,70],iter:[2,11,21,23,39,41,62,63,65,71],ith:[],itk:[0,12,62],itkimag:11,its:[2,61,69],itself:[67,69,71],jacob:67,jalv:60,jfortin1:[10,39,63],jiaj:67,jianan:61,job:[2,7,41,60,62,63],joblib:[2,23,39,62,63],joblib_backend:[38,39,63],joblib_ncor:[38,39,63],join:70,joost:67,joseph:10,journal:[16,60,67],json:[2,12,62,70],jth:[],jukka:67,just:[11,62,65,70,71],k_neighbor:[2,54,55,63],kapsa:60,keep:[2,12,60,62,69],kei:[2,3,42,62,63,66,71],kept:10,kernel:[2,23,63,71],kessel:60,keyerror:0,kfold:2,kind:[62,69],klein:[60,61],knn:[10,44,45,62,63],knnimput:62,know:63,knowledg:2,known:67,kovesi:67,kurtosi:67,kwarg:[2,4,19],label1:[46,63,71],label2:[46,63,71],label:[0,1,2,3,7,10,11,12,16,25,47,49,52,53,60,61,62,67,69,70],label_1_count:16,label_data:[2,11,12],label_data_test:2,label_data_train:2,label_feature_1:66,label_feature_2:66,label_feature_3:66,label_feature_4:66,label_fil:[2,12,18,70],label_info:12,label_nam:[1,2,7,12,46,47,63,70],label_process:[0,60],label_s:[],label_set:10,label_statu:12,label_typ:[0,1,2,10,11,12,18,71],labelprocess:62,labels_from_this_fil:[7,60,70],labels_test:[10,71],labels_train:[10,71],lambda:[],lambda_tol:[],languag:[24,25,60,63,69],laplacian:[53,60,63],laptop:69,larg:[2,62,67,69],larger:[41,62,63,67],largest:[11,12,57,61,63,67],lasso:[2,22,34,35,61,63],last:[62,67,69],lastli:[51,63,65],later:[2,10,63,67],latest:[43,52,53,63],latex:62,latter:65,lbfg:[22,63],lbp:[43,59,60,63],lbp_:10,lbp_npoint:[42,43,63,67],lbp_radiu:[42,43,63,67],lda:[22,23,61,63],lda_shrinkag:[22,23,63],lda_solv:[22,23,63],lead:[62,67],learn:[2,10,11,22,23,35,55,60,61,62,63,69,71],least:[2,66,67,69],leav:[27,62,63],led:62,leender:60,left:[2,62],length:[2,10,11,60],lengthi:70,lesion:[33,63,67],less:[62,63,67],let:70,letter:16,level:[43,52,53,60,63,71],lib:60,licens:60,lidc:60,lightweight:2,lij:10,like:[2,10,60,62,63,67,69,70],limit:[61,71],line:[2,10,60,61,65,67,69,70],linear:[2,22,61,62,63,71],linear_model:[22,23,35,63],linearexecut:[7,18,22,63],link:[18,62,65,70,71],link_n4biasfieldcorrection_doc:61,linr:[22,63],linstretch:[0,60],lint:62,linux:62,linuxdetector:4,lipoma:60,liposarcoma:60,list:[0,1,2,4,7,8,10,11,12,18,19,22,24,36,37,39,42,43,45,48,59,61,63,66,71],literatu:10,literatur:[10,61,67],littl:[2,69],liver:[60,61,71],load:[1,12,43,63,70],load_config:[1,65],load_config_xnat:12,load_data:1,load_featur:[1,62],load_iri:2,load_label:12,load_label_csv:12,load_label_txt:12,load_label_xnat:12,loc:[2,22,23,34,44,54,55,63],local:[43,60,63],locat:[7,59,62,63,67,70],location_featur:[10,58,59,63],locf_:10,log10:16,log:[10,16,23,42,43,52,53,59,60,62,63,65,66,69],log_featur:[10,58,59,63],log_sigma:[42,43,63,67],log_uniform:2,log_z_scor:[36,63],logarithm:[10,61,62],logic:62,logist:[23,61,63],logisticregress:[22,23,35,62,63],logit:10,logstandardscal:10,longer:[62,63],loo:[26,27,62,63],loo_cross_valid:2,look:[7,10,60,61,63,64,65,67,69,70,71],loop:[2,66],loss:[2,23,63,67],lot:[53,63,67,69],low:[60,67],lower:[10,12,35,51,62,63],lowerbound:12,lr_l1_ratio:[22,23,63],lr_solver:[22,23,63],lrc:[22,23,63],lrpenalti:[22,23,63],lsqr:[22,63],luckili:69,lung:60,maarten:[],machin:[2,35,60,61,62,63,67,69,71],macskassi:71,made:[7,60,62,63,67,69,71],maenpaa:67,magnet:67,mai:[2,61,63,65,67,69,70],main:[7,11,14,17,61,62,70,71],major:[54,62,63,67],majorli:[7,62],make:[2,7,11,39,41,62,63,65,66,69,70,71],make_scatterplot:[],make_scor:2,malign:60,manag:[0,67],mandatori:[1,2,10,11,12],manhattan:62,manhattan_import:11,mani:[0,2,10,11,29,57,61,62,63,67,69,71],manipul:71,mann:71,mannwhitneyu:[10,34,63],manual:[2,7,40,60,61,62,63,66,67,69,70],manufactur:[61,67],manuscript:61,map:[2,11,71],mappingproxi:[0,2,4,7,8,10,12,18,19],mark:11,marku:67,martijn:60,mask:[0,2,7,11,12,39,51,53,56,57,61,62,63,69,70],mask_contour:12,mask_file_nam:7,masked_arrai:2,masks_from_this_directori:7,masks_test:71,masks_train:71,mass:67,master:[2,61,65,71],match:[1,12,62,63,71],matlab:[10,12,24,25,60,63,69],matplotlib2tikz:62,matplotlib:11,matrix:[2,10,60],matter:10,matti:67,max:[1,32,33,35,42,63,65,67],max_it:[2,22,23,63],maxim:2,maximum:[23,43,62,63,67],maxlen:[2,40,41,62,63],mean:[1,2,7,10,25,32,33,44,61,62,63,66,67,71],mean_fit_tim:2,mean_score_tim:2,mean_test_scor:2,mean_train_scor:2,measur:[2,7,67,71],median:[10,44,51,61,63,67],medic:[60,61,67,69],medicin:[60,67],meet:[7,60],melanoma:60,member:2,memori:[2,40,41,62,63,71],mention:67,mesenter:60,mesh:67,messag:[2,11,62],metadata:[0,12,39,51,61,62,63,67],metadata_fil:12,metadata_test:71,metadata_train:71,metaestimatormixin:2,metastas:[60,61],method:[0,2,7,10,11,12,16,33,35,37,45,50,51,54,55,60,61,62,63,66,67,69,71],metion:10,metric1:11,metric1t:11,metric2:11,metric2t:11,metric:[0,10,11,28,29,40,41,60,61,62,63,71],mhd:[12,71],miccai:60,michael:67,miclea:60,micro:69,microsoft:70,middl:[0,11,71],midrank:16,mimic:12,min:[10,35,42,62,63,65,67],min_object_s:[56,57,63],mine:[60,61,66,69],minim:[2,43,63,70,71],minimum:[23,43,51,57,62,63,67],minkov:10,minm:[50,63],minmax:[10,36,61,62,63],minor:[54,62,63,67],minsubjectsvalid:19,mismatch:[39,63],miss:[2,10,62],missing_valu:10,missingpi:[10,62],mixtur:12,mod:[10,24,25,62,63,65],modal:[2,10,43,53,61,62,63,67,71],modalityname1:[2,10],modalityname2:[2,10],mode:7,model:[1,2,7,11,16,18,35,41,59,60,61,62,63,69,71],model_select:[2,10],moder:[25,61,63,67],modified_hub:[22,63],modnam:1,modu:[0,2,11,18,46,47,63,70],modul:[13,22,23,35,62,63,65,71],modular:60,modulenotfounderror:60,molecular:60,momentum:67,more:[2,7,10,11,12,37,39,41,60,61,62,63,65,66,67,69,70,71],moreov:69,morpholog:[12,67],most:[2,7,10,23,61,62,63,67,69,70],most_frequ:[10,44,63],mostli:[2,10,62,63,71],mount:[2,7,62,70],move:[61,62],mr001:0,mr002:0,mri:[53,60,63,67],mse:71,mstarmans91:[7,60,65,66,70,71],much:[41,55,62,63,67,70],multi:[2,60,67],multi_class_auc:2,multi_class_auc_scor:2,multi_class_relief:10,multicent:61,multicentr:60,multiclass:[2,7,61,70,71],multiclass_classif:[7,70],multicor:[7,39,63],multifoc:61,multihread:62,multilabel:[2,7,46,47,60,62,63],multilabel_typ:11,multimetric_grid_search:2,multimod:62,multipl:[0,2,10,11,33,39,61,62,63,67,69,70,71],multipli:[12,56,57,63],multiprocess:[38,63],multiresolut:67,multiscal:67,multislic:[43,59,63],multivendor:[],must:[2,60,63],mutat:60,mutlicor:2,mutual:[61,70],mwu:10,mxn:[],n_1:11,n_2:11,n_blob:[56,57,63],n_classifi:16,n_compon:62,n_core:2,n_exampl:16,n_featur:[2,5,10,62],n_iter:[2,18,20,21,26,27,40,41,63],n_job:2,n_jobspercor:[2,40,41,63],n_jobsperscor:2,n_neighbor:[2,10,44,45,54,55,63],n_neighbour:10,n_neightbor:10,n_object:5,n_output:2,n_patient:10,n_sampl:[2,10,62],n_split:[2,40,41,62,63],n_splits_:2,n_test:11,n_train:11,nadeau:71,naiv:[61,69],name:[0,2,7,10,11,12,18,23,25,37,43,49,58,59,60,62,63,67,70,71],name_of_label_predicted_for_evalu:71,nan:[2,10,33,45,62,63,67],natur:61,ndarrai:2,nearest:[10,35,45,63],nearmiss:[54,63],neccesari:[62,65],neck:70,need:[2,7,10,60,62,63,65,67,69,70,71],needaccess:10,neg:[10,62,71],neg_dual_func:[],neighbor:[10,35,45,63],neighborhood:60,neighbour:[10,67],neighbourhoodcleaningrul:[2,54,63],net:[10,61],nettyp:18,network:[0,14,18,60,61,62,63,65,69,70],neural:[61,71],neurocombat:[],never:[31,61,63],new_spac:12,newest:62,newli:62,nework:0,next:[67,70,71],ngldm:[59,62,63],ngldm_:10,ngtdm:[43,53,59,60,62,63,66],ngtdm_:10,nice:[62,69],niessen:60,nifti:[62,71],nii:[0,7,12,70,71],nipyp:2,nmod:0,nocrossv:2,node:[0,18,33,62,63,69,71],nofeaturesfoundexcept:8,noimagesfoundexcept:8,nois:[25,63],nomasksfoundexcept:8,nomean:10,non:[2,7,10,25,61,62,63,67,69,71],none:[0,1,2,4,5,7,8,10,11,12,16,18,19,22,36,52,56,57,62,63,66],nonparametr:71,nor:60,norm_tol:[],normal:[2,7,11,12,50,51,52,53,61,62,63,66,67,69,71],normalization_factor:11,normalize_imag:[12,61],normalize_roi:[12,50,51,63],normalize_whitespac:2,normalizescal:[52,53,63],nosegmentationsfoundexcept:8,not_label:[],notabl:62,note:[0,2,7,10,11,12,62,63,67,69,70],notic:67,notimplementederror:0,now:[62,67],npoint:67,npv:[62,71],nrrd:[12,71],nsampl:11,nsubject:[5,70],num_class:[],num_train:[],number:[2,7,10,11,12,16,21,23,27,35,39,41,43,45,55,62,63,67,69,71],numbertoextract:12,numer:[2,10,71],numf:10,numpi:[2,10,11,12,16,60,62,67],obj:60,object:[0,1,2,4,7,8,10,11,12,18,19,23,33,55,57,60,61,62,63,65,66,70],objectsampl:[0,60,62],observ:[2,10],obsolet:[39,63],occur:[2,10,35,60,63,64,66,71],occurr:10,odd:67,oddfeat:10,oddpati:10,odink:60,oerat:16,of_:[10,24,63],off:[2,66,67,71],offer:[67,70],offici:60,often:[63,67,69,71],ojala:67,older:62,omit:70,onc:[2,12,61,62,67],oncolog:[],oncoradiom:[7,62],one:[0,2,7,10,11,12,27,37,49,51,61,62,63,65,66,67,69,70,71],onehotencod:[2,3,10,49,60,62],onehotencoderwrapp:[0,60],onevsrest:62,onevsrestclassifi:2,onli:[2,7,10,12,23,31,41,51,61,62,63,66,67,69,70,71],onlin:[69,70],ontolog:69,onward:2,open:[60,62,66,69,70],oper:[11,12,60,67,71],opim:2,optim:[0,2,23,41,61,62,63,64,67,71],optimiz:0,option:[0,1,2,7,10,11,12,20,22,23,24,26,28,30,32,33,34,36,38,40,42,44,46,48,50,52,54,56,58,61,62,63,65,66,67,70,71],order:[2,10,11,12,53,61,62,63,64,67,69],org:[2,10,22,23,35,63],organ:[67,69],orient:[12,42,43,51,59,60,61,62,63],orientation_featur:[10,58,59,63],orientationprimaryaxi:[50,51,63],origin:[2,52,53,59,61,62,63,67],original_featur:[10,58,59,63],oserror:0,other:[0,2,10,35,40,60,61,62,63,65,69,70,71],otherwis:[2,10,51,53,61,62,63],otsu:[12,50,51,62,63],our:[60,63,65,67,70,71],out:[2,11,12,27,62,63,69,70,71],outcom:[2,41,61,63,69,70],outer:[27,61,63,67],outlier:[10,61,62],output:[2,7,10,11,12,18,62,63,65,66,69,70,71],output_csv:[10,11],output_file_path:6,output_fold:8,output_hdf:2,output_itk:11,output_json:2,output_nam:11,output_name_zoom:11,output_png:[10,11],output_tex:[10,11],output_zip:11,outputfold:[2,11,70],over:[2,7,10,62,63,67,69],overal:[62,70],overfit:[31,61,62,63],overfit_scal:[2,11],overfitscal:[30,31,63],overid:62,overlai:11,overrid:[7,61,62],oversampl:[62,69],overview:[61,64,67,70,71],overwrit:[7,51,62,63],overwritten:0,own:[38,60,61,62,63,65,67,69,70],p_ngtdm:66,packag:[60,62,67,71],packagedir:62,pad:[11,18],padmo:60,page:[16,60,69,71],pairwis:12,pairwise_auc:2,panda:[2,11,66,70],panda_data:[2,66],paper:[2,10,67],par:[10,24,25,63],para:2,paracheck:11,parallel:[2,7,62,63],param:[2,11],param_c:2,param_degre:2,param_distribut:2,param_gamma:2,param_grid:2,param_kernel:2,param_list:2,paramet:[0,2,7,10,11,12,23,35,41,55,60,61,62,63,64,65,69,71],parameter_optim:[0,60],parametergrid:2,parameters_al:2,parameters_bsplin:61,parameters_est:2,parameters_rigid:61,parametersampl:2,parametr:[10,25,61,63],paramt:[],parekh:67,parent:18,pars:[1,62,63,65],part:[2,7,35,43,62,63,64,65,67,69,71],parti:10,pass:[2,62,71],path:[0,1,2,8,10,11,12,25,62,63,66,70],pathnotfoundexcept:8,patient001:0,patient002:0,patient1:[63,66,71],patient1_0:71,patient1_1:71,patient2:[63,66,71],patient3:[63,71],patient:[0,1,2,7,10,11,12,33,55,60,62,63,67,70,71],patient_001:70,patient_002:70,patient_featur:[10,62,71],patient_id:[2,12,18],patientclass:[62,63],patientinfo:[1,2,10,11,12],patientinfo_test:2,patientinfo_train:2,patrick:10,pattern:[60,71],pca:[2,7,35,62,63,65,71],pcatyp:[34,35,63],pce:62,pdf:10,peak:67,pearson:[61,71],peform:70,penalti:[23,62,63],peopl:60,per:[0,1,2,10,25,57,61,62,63,66,67,71],per_featur:[10,24,25,63],percentag:[2,7,10,11,18,27,35,41,55,62,63,67,70,71],percentil:[10,62,67],perform:[0,2,7,10,11,18,27,31,39,41,47,60,61,62,63,64,69,70,71],performance_all_0:70,performance_fil:70,performance_metr:2,performance_multilabel:2,performance_singlelabel:2,person:60,peter:67,peura:67,pf_:[24,36,63],phase:[42,43,59,60,63],phase_featur:[10,58,59,63],phase_minwavelength:[42,43,63,67],phase_nscal:[42,43,63,67],phasef_:10,phd:69,phenotyp:67,phil:60,philip:67,physic:0,pick:[63,71],pid:[11,12,62],pietikainen:67,pilot:[],pinfo:[11,18,62],pinfo_hn:70,pip:[62,66,70],pipelin:[0,60,62,69,71],pixel:[0,11,43,53,63,67],place:65,placehold:10,platform:[60,69,70],pleas:[7,10,60,61,63,64,65,66,67,70,71],plot:[0,10,17,60,62],plot_bar:11,plot_barchart:[0,60],plot_boxplot_featur:[0,60],plot_boxplot_perform:[0,60],plot_error:[0,60],plot_estimator_perform:[0,60],plot_hyperparamet:[0,60],plot_im_and_overlai:11,plot_imag:[0,60,62],plot_prc_cic:11,plot_pvalues_featur:[0,60],plot_ranked_imag:11,plot_ranked_percentag:11,plot_ranked_posterior:[11,62],plot_ranked_scor:[0,60],plot_roc:[0,60],plot_roc_c:11,plot_single_prc:11,plot_single_roc:11,plot_svm:62,plot_svr:62,plot_test:10,plotminmaxrespons:[0,60],plotrankedscor:62,plu:[2,25,63,71],pluge:0,plugin:[0,2,22,23,41,62,63,66,69],png:[0,11,62],point:[2,11,43,63,70],pointint:11,pointsar:11,poli:[2,22,63],polynomi:[23,63,71],port:62,posit:[2,10,11,35,63,67,71],possibl:[2,10,60,62,67,69,71],post:70,posterior:[7,11,62,71],posteriors_csv:11,potenti:65,ppv:71,practic:69,prax:67,prc:71,prc_csv:11,prc_png:11,prc_tex:11,pre:62,pre_dispatch:2,precis:[11,62,67,71],precomput:70,precrop:[52,53,63],predict:[2,5,7,10,11,16,38,58,60,61,62,63,66,67,69,70,71],predict_label:[7,62,70],predict_log_proba:2,predict_proba:[2,62],predictions_on:16,predictions_sorted_transpos:16,predictions_two:16,predictproba:62,predit:62,preflighcheck:62,preflightcheck:[0,60,62],prepar:[12,60],preprint:[60,61],preprocess:[0,2,3,10,38,39,51,60,62,69,71],preprocess_nod:0,preprocessor:[0,33,60,62,63,65],preprocss:2,present:[2,60,62,67,70],preserverd:[25,63],prevent:62,previou:[69,71],previous:[62,69],primari:[51,63],primarili:61,primary_axi:12,princip:67,principl:[35,60,63,69,71],print:[2,8,10,11,62,70,71],probabl:[2,16,66,70],probe:60,problem:[2,60,61,62,69],procedur:[10,63,71],proceed:[60,71],process:[0,2,7,16,39,60,61,62,63,69,71],process_fit:2,processpoolexecut:18,produc:[2,67],program:[24,63,69],progress:[2,62],project:[5,12,62],project_nam:5,projectid:[46,47,63],proof:60,proper:[0,62],properli:62,properti:[2,67],prostat:60,protocol:61,proven:69,provid:[0,2,7,11,12,18,25,29,39,50,51,61,63,64,67,70,71],provost:71,pseudo:2,psycholog:10,publish:16,purpos:[0,31,63],push:60,put:[11,62,63,71],pvalu:16,pxcastconvert:62,pyradiom:[1,3,10,38,52,53,58,60,62,65,66,67],python3:62,python:[5,10,24,60,62,63,65,69,70],python_intro:[],pywavelet:66,qda:[22,23,61,63],qda_reg_param:[22,23,63],qualiti:2,quantifi:67,quantit:[60,67,69],question:69,queue:60,quick:[60,63,66],quickli:67,quit:[63,69],qxm:[],radial:[67,71],radian:[43,63,67],radii:[43,63],radiograph:67,radiolog:[60,67],radiom:[0,10,61,63,64,71],radiomix:[7,8,62],radiu:[11,12,43,51,57,63,67],rais:[2,62],rajic:60,ran:[2,62,70],random:[2,5,25,27,35,61,62,63,71],random_se:2,random_search:2,random_search_paramet:2,random_split:[26,63],random_split_cross_valid:2,random_st:[2,10],randomizedsearchcv:2,randomizedsearchcvfastr:2,randomizedsearchcvjoblib:2,randomli:[2,35,63,66],randomoversampl:[54,63],randomsearch:2,randomst:2,randomundersampl:[54,63],rang:[11,12,23,35,55,61,63,67],rank:[7,10,11,29,35,41,62,63,69,71],rank_:2,rank_test_scor:2,ranked_pid:11,ranked_scor:11,ranked_truth:11,rankedposterior:62,rankedsvm:62,ranking_scor:[2,40,41,63],ranksvm:[],ranksvm_test:[],ranksvm_test_origin:[],ranksvm_train:[],ranksvm_train_old:[],rate:[11,23,63,71],rater:10,rather:2,ratio:[11,23,63,67],rational:64,raw:[12,67],rbf:[2,22,63],read:[1,2,12,62,69,70,71],read_hdf:70,reader:62,readthedoc:[0,43,52,53,55,60,61,62,63],reason:[2,67],recal:[11,62,71],receiv:[11,16,71],recent:62,recogn:66,recommend:[2,23,25,60,63,65,67,69,70],recommmend:70,recreat:2,reduc:[2,60,62],reduct:[62,69],redund:[62,67],ref:2,refactor:62,refer:[0,1,2,3,4,7,8,10,11,12,16,18,19,38,62,63,65,67,69],refit:[2,41,62,63],refit_and_scor:2,refit_ensembl:11,refit_workflow:[2,40,41,63],reflect:67,regard:60,regardless:70,region:[7,67],registr:[0,39,60,62,63,69,71],registrationnod:[38,39,63],regress:[2,7,11,18,23,47,60,62,63,66,70,71],regressor:[0,60,61,62],regular:[23,61,63,71],rel:[2,66],relat:[0,67],releas:[62,69],relev:[61,65,67,69,71],reli:67,reliabl:10,relief:[0,2,35,60,61,62,63],reliefdistancep:[34,35,63],reliefnn:[34,35,63],reliefnumfeatur:[34,35,63],reliefsamples:[34,35,62,63],reliefsel:2,reliefus:[34,35,63],remov:[10,11,39,57,61,62,63],remove_small_object:[56,57,63],removeconst:11,renam:62,rencken:60,repeat:[2,61,63],repetit:67,replac:[2,10,45,62,63,65,66],replacenan:[2,62],report:71,repositori:[60,70],repres:[2,67],reproduc:[61,62,69],requir:[0,2,7,23,60,62,63,66,69,70,71],resampl:[2,3,12,50,51,55,60,61,62,71],resample_imag:12,resampled_imag:12,resampledpixelspac:[52,53,63],resampling_spac:[50,51,63],research:[67,69],resourc:[0,12,14,60,66,69],respect:[10,57,61,63,70,71],rest:61,result:[2,10,11,39,51,60,61,62,63,67,69],ret:2,retreiv:12,retriev:67,return_al:2,return_estim:2,return_n_test_sampl:2,return_paramet:2,return_tim:2,return_train_scor:2,returnplot:11,revert:62,review:67,rfmax_depth:[22,23,63],rfmin_samples_split:[22,23,63],rfn_estim:[22,23,63],rfr:[22,63],rgrd:[59,62,63],rgrd_featur:[10,58,59,63],rgrdf_:10,ridg:[22,61,62,63],right:71,rigid:61,ring:[12,56,57,61,62,63],risk:71,rms_score:2,rng:2,robert:61,robust:[10,36,60,61,62,63,67],robust_z_scor:[10,36,63],robustscal:[10,62],robuststandardscal:[10,62],roc:[7,11,16,61,62,71],roc_comparison:16,roc_csv:11,roc_png:11,roc_tex:11,roi:[12,51,53,60,62,63,71],roi_dilate_radiu:12,roidetermin:[12,50,51,63],roidil:[50,51,63],roidilateradiu:[50,51,63],rokwa:10,root:[2,7],rosset:71,rot90:11,rotat:[51,63,67],rough:67,round:[2,23,62,63],rounded_list:2,routin:[67,69],row:[2,10,67],rtstructread:62,run:[2,7,10,60,62,63,66,69,71],runtim:[2,62],rvs:2,safe:65,saga:[22,63],sagit:[52,62,63],sai:61,same:[1,2,10,11,23,33,39,61,62,63,67,69,70,71],samefeat:10,sampl:[0,1,2,10,11,23,35,41,55,61,62,63,71],sample_s:10,sample_weight:16,sampler:2,sampleswarn:19,sampling_strategi:[2,54,55,63],sar:2,sar_scor:2,sarcoma:[],satur:67,save:[0,2,5,10,11,39,41,62,63,66,67,70,71],save_config:[0,65],save_data:2,save_memori:11,scale:[2,10,22,23,34,37,43,44,53,54,55,60,62,63,67,69],scaler:[0,2,31,60,62,63,65],scaling_method:[36,37,63],scan:[63,67,70],scanner:67,scatterplot:[11,62],schoot:60,scienc:71,scikit:[2,10,22,23,35,63],scipi:2,score:[2,7,10,11,18,41,51,61,62,63,64,71],score_tim:2,scorer:2,scorer_:2,scorers_dict:2,scoring_method:[2,7,8,40,41,63],scoring_paramet:2,script:[10,61,62,65,66,69,70,71],script_path:70,scroll:71,search:[2,7,10,35,41,60,62,63,65,66],searchcv:[0,11,60,62,65],sebastian:60,second:[2,10,16,25,63,67],section:[63,66,70,71],see:[0,1,2,4,7,8,10,11,12,18,22,23,35,39,43,52,53,55,60,61,62,63,65,66,67,70,71],seed:[2,27,62,63],seem:[62,69],seen:71,seg:[18,62],seg_liver_mr:71,seg_tumor1_mr:71,seg_tumor2_mr:71,seg_tumor_mr:71,segment:[0,7,11,12,18,39,57,61,62,63,67,69,70],segmentation_file_nam:[7,70],segmentations1:71,segmentations2:71,segmentations_from_this_directori:[7,70],segmentations_test:71,segmentations_train:[7,71],segmentix:[0,1,3,38,39,53,60,61,62,71],segmentix_test:[0,13],segradiu:[56,57,63],segtyp:[56,57,63],sel:10,select:[2,7,10,12,23,35,53,60,61,62,63,69,71],selected_label:7,selectfeatgroup:[3,35,60,66],selectfrommodel:[34,35,62,63],selectfrommodel_estim:[34,35,63],selectfrommodel_lasso_alpha:[34,35,63],selectfrommodel_n_tre:[34,35,63],selectgroup:[0,60,66],selectindividu:[0,60],selectmodel:2,selectmulticlassrelief:10,selectormixin:[10,62],self:[2,4,8,10,12,18,23,63,66],selfeat_vari:10,semant:[0,7,59,60,62,63],semantic_featur:[10,58,59,63],semantics_from_this_fil:7,semantics_test:71,semantics_train:71,semf_:[10,24,36,63],semicolon:62,sensibl:67,sensit:[61,71],separ:[2,7,22,24,31,36,37,42,62,63,71],sequenc:[0,2,61,71],seri:[7,66],seriou:61,serpar:62,serv:[0,67,69,71],session:5,set:[0,1,2,5,7,10,11,16,18,23,31,39,41,45,51,61,62,63,65,66,67,69,70,71],set_fixed_split:7,set_multicore_execut:[7,70],set_tmpdir:[7,70],settin:2,settings_dict:1,setup:[7,62],sever:[0,7,10,12,61,62,63,66,67,69,70,71],sex:[10,42,63,67,71],sf_:[10,24,63,66],sf_compact:10,sgd:[22,23,63],sgd_alpha:[22,23,63],sgd_l1_ratio:[22,23,63],sgd_loss:[22,23,63],sgd_penalti:[22,23,63],sgdr:[22,63],shape:[2,10,42,43,53,59,60,63,66],shape_featur:[10,58,59,63],shear:69,sheet:71,shift:[25,63],should:[0,1,2,7,10,11,12,25,37,39,41,43,55,57,61,62,63,66,71],show:[2,11,62,70,71],shown:69,shrink:2,shrinkag:[23,63],shrout:10,shuffle_estim:11,shutil:62,siemen:67,sigma:[10,16,67],sign:[2,10],signal:16,signatur:[2,4,8,10,12,18,60],signific:[11,71],significantli:63,similar:[2,10,61,62,65,66,67,69,70,71],similarli:65,simpl:[7,61,66,67,69,70],simpleelastix:71,simpleitk:[51,61,62,63,71],simpler:69,simplest:71,simplevalid:19,simpleworc:[0,60,61,62,70,71],simpli:[25,60,62,63,66,70,71],simplifi:70,simultan:[2,69],sinc:66,singel:7,singl:[2,7,11,12,16,25,41,43,45,60,61,62,63,64,71],single_class_relief:10,singleclass:2,singlelabel:[2,18,46,47,63],singleton:2,sink:[0,18,62,65,69,71],sink_data:[0,14,18,71],site:[2,60],sitkbsplin:[52,53,63],six:67,size:[2,11,18,35,41,43,60,62,63,71],size_alpha:[],skew:67,skip:[37,62,63,70,71],skip_featur:[10,36,37,63],sklearn:[2,10,11,22,23,35,40,62,63,65],slack:[23,63],sleijfer:60,slice:[0,2,11,57,62,63,67,71],slicer:[0,11,60,62],slight:2,slightli:70,slow:62,small:[10,57,61,62,63,67],smaller:[55,63,67],smallest:2,smart:[11,63],smit:60,smote:[2,54,62,63],smoteen:2,smoteenn:[54,63],smotetomek:[54,63],snapshot:71,sne:[7,71],societi:60,soft:[],softwar:[25,60,63,69],sole:67,solid:67,solut:[2,66],solv:[66,69],solver:[23,62,63],some:[0,2,7,60,61,62,63,65,69,70,71],somenam:[63,71],someon:69,someotherrandandomfolderwith:66,sometim:62,sort:[2,16,62,70],sourc:[0,1,2,4,5,6,7,8,10,11,12,14,16,17,18,19,60,62,63,65,67,69,70],source_data:[0,14,71],space:[2,10,11,12,35,51,61,62,63,65,67,71],span:2,spars:[10,71],spatial:61,spawn:[0,2],spawner:0,spearman:[61,71],special:61,specif:[2,10,23,49,63,65,66,67,69,70,71],specifi:[0,2,7,12,23,35,39,41,49,55,63],speed:[7,70],spend:2,spheric:67,split0_test_scor:2,split0_train_scor:2,split1_test_scor:2,split1_train_scor:2,split2_test_scor:2,split2_train_scor:2,split:[2,10,18,23,27,62,63,67,69,71],springer:67,squar:[2,11,61,71],squared_epsilon_insensit:[22,63],squared_hing:[22,63],squared_loss:[22,63],src:2,ssh:70,stabl:[0,10,22,23,35,55,62,63],stack:1,standalon:[18,62],standard:[7,10,43,60,62,63,67,70,71],standardis:60,standardscal:10,starman:60,start:[2,60,62,63,66,69],stat:[2,11,70],state:[0,2,29,62,63,65,70],statement:[12,65],staticmethod:19,statist:[0,2,10,11,17,35,60,62,63,67,70,71],statisticalsel:2,statisticaltest:62,statisticaltestfeatur:[0,60,62],statisticaltestmetr:[34,35,63],statisticaltestthreshold:[0,34,35,60,63],statisticaltestus:[34,35,63],statsticaltestthreshold:62,statu:[2,12,60],std:10,std_fit_tim:2,std_score_tim:2,std_test_scor:2,std_train_scor:2,stefan:[60,61],step:[2,43,61,62,63,64,66,67,69,71],still:[62,66,70,71],stimul:60,stochast:61,stop:[12,62],store:[2,7,8,70,71],str:[2,62],straight:[61,69],strategi:[2,10,11,44,45,55,60,62,63],stratif:60,stratifi:[2,18],stratifiedkfold:2,strenght:[23,63],strength:[23,63,67],stretch:11,string:[0,1,2,7,10,11,12,22,24,36,40,41,42,46,48,62,63,71],stromal:60,strongli:70,struct:62,structer:67,structur:[66,67,70,71],stuck:70,student:[10,69,71],studi:[0,60,61,69],studio:70,stwstrategyhn1:70,sub:[0,67],subfold:[7,62,66,70],subgroup:67,subject:[2,5,7],subkei:[20,21,22,23,24,25,26,27,28,29,30,31,32,33,34,35,36,37,38,39,40,41,42,43,44,45,46,47,48,49,50,51,52,53,54,55,56,57,58,59,63],submit:60,subpackag:60,subset:70,substr:[10,25,37,49,63],subtract:[12,56,57,62,63],succeed:62,success:2,suffici:71,suggest:[2,65],suit:[0,2,12],suitabl:[60,67],sun2014fast:16,sun:16,superelastix:61,suppli:[1,2,11,43,51,55,57,61,62,63,71],support:[2,10,27,51,60,61,62,63,66,67,69,71],suppos:63,sure:[7,65,66,71],surfac:67,surfsara:70,surgeri:60,surgic:[],surrog:2,surround:67,surveil:[],surviv:[7,11,71],svc:2,svd:[22,63],svm:[2,7,11,22,23,61,62,63],svmc:[22,23,63],svmcoef0:[22,23,63],svmdegre:[22,23,63],svmgamma:[22,23,63],svmkernel:[22,23,63],svr:[2,7,22,63],symlink:62,symmetri:67,symposium:60,synthet:[10,11],synthetictest:10,system:[0,2,63,67,71],tabl:[2,71],tadpol:[2,71],tag:[42,43,62,63,67,71],take:[2,10,41,62,63,65,71],taken:11,tandfonlin:10,target:2,task:69,techniqu:[61,63,67],tedious:69,tell:[7,65,71],tempdir:[62,70],tempfold:2,temporari:[0,7,62,70],tempsav:[2,38,39,63],term:[23,35,61,62,63,69],terminolog:60,test:[0,2,7,10,11,16,27,31,35,39,41,60,61,62,63,66,70,71],test_combat:[0,60],test_combat_fastr:17,test_data:[],test_help:[0,60],test_iccthreshold:[0,60],test_invalidlabelsvalidator_columnsubstr:17,test_invalidlabelsvalidator_patientcolumn:17,test_invalidlabelsvalidator_patientsubstr:17,test_invalidlabelsvalidator_validconfig:17,test_metr:11,test_plot_error:[0,60],test_rs_ensembl:2,test_sampl:11,test_sample_count:2,test_scor:[2,40,63],test_score_dict:2,test_siz:[2,18,26,27,40,41,63],test_target:[],test_valid:[0,60],tex:[11,62],text:2,textur:[43,59,60,63],texture_featur:10,texture_gabor:[42,43,63],texture_gabor_featur:[10,58,59,63],texture_glcm:[42,43,52,53,63],texture_glcm_featur:[10,58,59,63],texture_glcmm:[42,43,63],texture_glcmms_featur:[10,58,59,63],texture_gldm:[52,53,63],texture_gldm_featur:[58,59,63],texture_gldzm_featur:[10,58,59,63],texture_glrlm:[42,43,52,53,63],texture_glrlm_featur:[10,58,59,63],texture_glszm:[42,43,52,53,63],texture_glszm_featur:[10,58,59,63],texture_lbp:[42,43,63],texture_lbp_featur:[10,58,59,63],texture_ngldm_featur:[10,58,59,63],texture_ngtdm:[42,43,52,53,63],texture_ngtdm_featur:[10,58,59,63],tf_glcm_contrastd1:67,than:[2,55,62,63,66,70],thei:[2,62,63,64,67,70,71],them:[2,62,63,69,71],themselv:67,therebi:[60,62,69,71],therefor:[0,7,10,61,62,65,66,67,69,70,71],thi:[0,2,7,10,11,33,37,41,49,51,55,60,61,62,63,64,65,66,67,68,69,70,71],thick:67,thing:[62,63,66,70],third:10,thoma:60,thomeer:60,those:[2,7,10,65,67,71],thread:[38,62,63],three:[2,66,67],thresh:[10,11],threshold:[2,10,11,17,35,51,55,62,63,67],threshold_annot:11,threshold_clean:[2,54,55,63],through:[0,2,10,12,18,51,60,61,62,63,67,69,70,71],throughput:67,thu:[2,10,60,61,62,63,66,67,69,71],tibshirani:71,tiff:[12,71],tikzplotlib:62,till:61,timbergen:60,time:[2,11,27,35,41,55,61,62,63,67,69,70,71],timer:62,timo:67,tip:60,tissu:[],titl:16,tmp:7,tmpdir:[7,70],to_hdf:66,todo:[2,10],togeth:[62,65,70],tol:2,toler:[],tomek:2,tomographi:60,tone:60,too:67,tool:[0,7,38,39,60,61,62,63,65,68,69,70,71],toolbox:[10,58,59,60,61,62,63,66,67,71],top50:2,top:[11,62],topi:67,toshiba:67,total:[2,67],towardsdatasci:63,tpr:11,trace:[66,70],track:2,trade:2,train:[0,2,7,11,23,27,31,35,39,41,62,63,71],train_data:[],train_scor:2,train_score_dict:2,train_target:[],train_test_split:2,trainclassifi:[0,11,60,62,65],transact:[2,61,67],transform:[2,10,39,61,62,63,65,67,71],transformationnod:[38,39,63],transformermixin:10,transformix:[0,38,60,62,63],transpos:[12,61,62],transpose_imag:12,travi:62,treat:63,tree:[23,35,61,63,71],tri:[2,69],trick:60,trigger:67,truth:[2,11,62,71],tsampl:11,ttest:[10,34,62,63],tube:67,tubular:67,tumor:[60,70,71],tumour:60,tune:[2,63,69],tupl:2,turn:[61,62,66],tutori:[17,60,63,66],two:[0,2,10,11,16,22,34,42,44,54,61,62,63,67,70,71],txt:[0,1,2,7,10,11,61,62,63,71],type:[0,2,4,8,10,11,12,18,23,26,27,35,39,60,61,62,63,65,67,69,71],typeerror:[0,2],typegroup:62,typic:71,typo:62,udr:[],unadjust:16,unaffect:[25,63],unag:12,uncorrect:71,under:[2,16,60,61,62,63,67,71],underli:2,underscor:71,understand:69,unfit:2,unfortun:66,uniform:[2,23,55,62,63,65,67],uniformli:2,uniqu:[2,67],unit:[62,63],univari:[2,7,61,62,71],univers:[2,60],unless:2,unreleas:[],unround:62,unsuccesful:62,unsuit:62,unsupervis:2,until:2,updat:62,upgrad:62,upon:[7,63],upper:[35,63],upperbound:[12,51,63],uri:62,url:[12,46,47,62,63],urltyp:62,usabl:2,usag:[2,41,61,62,63,67,71],usd:10,use:[0,2,7,10,11,12,18,21,23,25,27,29,31,33,35,39,44,45,49,51,53,59,60,61,62,63,65,67,69,70,71],use_fastr:2,useag:10,used:[0,1,2,7,10,11,12,23,27,29,31,35,39,41,43,45,47,51,53,55,57,59,60,61,62,63,65,67,69,70,71],useful:[2,10,39,63,71],usemask:12,usepca:[34,35,63],user:[2,7,61,67,68,70],usersmynamefeaturefold:7,usersmynameimagefold:7,usersmynamemaskfold:7,usersmynamesegmentationfold:7,uses:[2,7,10,62,65,66,67,68],using:[0,2,7,10,18,23,25,27,29,35,41,45,51,53,60,61,62,63,65,66,67,69,70,71],usual:67,util:2,v600e:60,val:0,valid:[0,2,7,10,11,18,27,39,41,60,62,63,71],validationm:[27,63],validatorsfactori:19,valu:[0,2,7,10,11,12,16,35,40,43,45,49,53,61,62,63,65,66,67,70,71],value1:63,value2:63,valueerror:0,van:[60,67],vari:[2,53,62,63,67,69],variabl:[0,11,25,61,62,63,66,70],varianc:[2,10,16,34,35,62,63,67],variancethreshold:[0,35,60,62,63],variancethresholdmean:10,variant:69,variat:[25,61,63],varieti:[7,60,67],variou:[2,11,60,61,62,63,65,68,69,71],varsel:2,vector:[2,10,61],veenland:60,veldt:60,vendor:60,verbos:[2,5,10,11,62],verhoef:60,veri:[2,69],verion:62,vermeulen:60,version:[16,25,61,62,63,66,67],verson:62,versu:60,vessel:[42,43,59,60,63],vessel_featur:[10,58,59,63],vessel_radiu:[42,43,63,67],vessel_scale_rang:[42,43,63,67],vessel_scale_step:[42,43,63,67],vf_:10,vfs:[0,62],via:70,vincent:60,virtual:66,virtualenv:70,vishwa:67,visit:65,visser:60,visual:[67,70],vizual:62,vol:71,volum:[16,60,67],voort:60,voxel:[57,63,67],voxelarrayshift:[52,53,63],wai:[63,67,71],want:[0,7,12,60,61,63,67,70,71],warn:[2,62],warp:[61,71],wavelength:[43,63],wavelet:[52,53,59,60,62,63],wavelet_featur:[10,58,59,63],weak:[0,2,4,7,8,10,12,18,19],week:66,weichao:16,weight:[23,62,63],weigth:[35,63],welch:[10,34,63,71],well:[12,60,61,62,63,65,67,69,70,71],were:[62,65,66,67,69,71],weus:71,what:[65,67],when:[0,2,7,10,11,18,23,27,29,35,37,41,45,61,62,63,65,66,67,69,70,71],whenev:2,where:[2,11,60,62,69,70],wheter:[31,63],whether:[1,2,7,10,11,12,21,29,39,43,47,49,51,53,57,62,63,64,67,70],which:[0,2,7,8,10,11,12,25,35,37,39,41,49,53,61,62,63,64,65,66,67,69,70,71],whitnei:71,whole:[41,63,69],why:63,wich:2,wide:[60,67],width:[53,60,63,71],wijnenga:60,wiki:[1,2,10,11,12],wilcoxon:[2,10,34,63,71],wildcard:[7,66],willemssen:60,window:[23,62,63,70],wip:[10,11,46,47,63,64,65],with_mean:10,with_std:10,within:[62,64,66,67,69,71],withing:[51,63],without:[2,62],wonder:69,worc:[1,2,4,5,6,7,8,10,11,12,14,16,17,18,19,23,38,40,43,49,61,62,63,64,65,67,68,69,70],worc_:70,worc_config:[0,60,62,63],worcassertionerror:0,worccastconvert:62,worccastcovert:62,worcdirectorydetector:4,worcerror:0,worcflow:60,worcindexerror:0,worcioerror:0,worckeyerror:[0,60],worcnotimplementederror:0,worcscal:10,worctutori:[7,60,66,70,71],worctutorialsimple_travis_multiclass:[],worctutorialsimple_travis_regress:[],worctutorialsimple_unittest_multiclass:[0,60],worctutorialsimple_unittest_regress:[0,60],worctypeerror:0,worcvalueerror:[0,60],worcworc:65,work:[12,60,62,67,69],workaround:2,workflow:[0,2,7,11,41,61,62,63,64,65,67,69,70,71],would:[60,63,67,69,70,71],wrap:[2,62,65,69],wrapper:[2,61,65,71],write:11,written:[2,10,11],wtype:0,www:[10,63],x_test:[2,10],x_train:[2,10,11],xgb:[23,63],xgb_boosting_round:[22,23,63],xgb_colsample_bytre:[22,23,63],xgb_gamma:[22,23,63],xgb_learning_r:[22,23,63],xgb_max_depth:[22,23,63],xgb_min_child_weight:[22,23,63],xgbclassifi:[22,63],xgboost:[61,62,63],xgbregressor:[22,63],xgdboost:62,xlsx:[2,8],xml:65,xnat:[12,62,70],xnat_url:5,y_predict:[2,11],y_score:[2,11],y_test:2,y_train:[2,10,11],y_truth:[2,11],yandexdataschool:16,year:16,yet:[7,12,62],yield:2,yml:62,you:[0,2,7,12,18,49,55,60,61,62,63,65,66,67,69,70,71],your:[0,2,7,31,38,39,41,47,53,60,62,63,65,70],yourself:[60,69],yspace:10,z_score:[10,12,36,50,63],zero:[10,45,62,63],zij:10,zip:[11,62,70],zone:60,zoomfactor:11,zwanenburg:67},titles:["WORC Package","IOparser Package","classification Package","<no title>","detectors Package","exampledata Package","export Package","facade Package","helpers Package","fastrconfig Package","featureprocessing Package","plotting Package","processing Package","resources Package","fastr_tests Package","fastr_tools Package","statistics Package","tests Package","tools Package","validators Package","<no title>","<no title>","<no title>","<no title>","<no title>","<no title>","<no title>","<no title>","<no title>","<no title>","<no title>","<no title>","<no title>","<no title>","<no title>","<no title>","<no title>","<no title>","<no title>","<no title>","<no title>","<no title>","<no title>","<no title>","<no title>","<no title>","<no title>","<no title>","<no title>","<no title>","<no title>","<no title>","<no title>","<no title>","<no title>","<no title>","<no title>","<no title>","<no title>","<no title>","WORC: Workflow for Optimal Radiomics Classification","Additional functionality","Changelog","Configuration","Data Mining Methods","Developer documentation","FAQ","Radiomics Features","Resource File Formats","Introduction","Quick start guide","User Manual"],titleterms:{"0rc1":62,"boolean":66,"class":12,"default":66,"export":6,"function":61,"import":70,Added:62,Adding:65,The:[70,71],actual:70,addexcept:[0,66],addit:61,advancedsampl:2,alter:66,analysi:[64,70],arrai:66,attribut:71,basicworc:7,begin:66,bigr:66,bin:67,binari:67,bootstrap:63,calcfeatures_test:14,can:66,chang:62,changelog:62,choic:67,classif:[2,60,61,63,64],classifi:[],cluster:66,column:66,combat:[10,61,63],command:71,compon:64,comput:66,compute_ci:11,config_io_classifi:1,config_io_combat:1,config_io_pyradiom:1,config_preprocess:1,config_segmentix:1,config_worc:1,configbuild:8,configur:63,construct:71,construct_classifi:2,content:63,convert:66,crash:66,create_example_data:5,createfixedsplit:[2,18],creation:63,crossval:2,crossvalid:63,data:[64,65,71],datadownload:5,debug:71,decomposit:10,definit:71,delet:66,delong:16,depend:67,detector:4,develop:[60,65],dicom:67,differ:[66,67],dimension:64,document:[60,65],elastix:18,elastix_para:71,elastix_test:14,ensembl:63,entri:66,error:66,estim:[],evalu:[18,63,71],exampl:[65,71],exampledata:5,except:8,execut:[66,71],experi:[66,70],extract:67,extractnlargestblobsn:12,facad:7,fals:66,faq:66,fastr:69,fastr_test:14,fastr_tool:15,fastrconfig:9,feat_out_0:66,featpreprocess:63,featsel:63,featur:[61,64,65,66,67,71],featureconvert:10,featureprocess:10,featuresc:63,file:[66,68,71],file_io:1,filter:67,first:66,fitandscor:2,fix:[62,67],format:[66,68],found:66,from:64,full:67,function_bas:66,gabor:67,gaussian:67,gener:63,given:66,glcm:67,gldm:67,glrlm:67,glszm:67,grai:67,groupwis:64,guid:70,hdf5:66,helper:[8,12],histogram:67,hyper_params_export:6,hyperoptim:[63,65],icc:[],iccthreshold:10,imag:[61,67,71],imagefeatur:63,imput:[10,63,64],indexerror:66,indic:[60,66],infer:18,input:[70,71],instal:[66,70],instead:66,integ:66,interact:[63,71],introduct:[63,69],iopars:1,job:66,keep:66,label:[63,66,71],label_process:12,labels_from_this_fil:66,laplacian:67,lbp:67,learn:64,length:67,level:67,lib:66,like:66,line:66,linstretch:11,local:67,log:67,look:66,machin:64,manual:71,mask:71,matrix:67,metadata:71,method:[64,65],metric:2,mine:64,model:64,modul:[0,1,2,4,5,6,7,8,9,10,11,12,14,16,17,18,19,60,66],modular:69,modulenotfounderror:66,multilabel:61,must:66,name:66,need:66,neighborhood:67,network:71,ngtdm:67,numpi:66,obj:66,object:71,objectsampl:2,occur:67,onehotencod:[63,64],onehotencoderwrapp:10,ones:66,optim:[60,69],orient:67,other:[66,67],own:66,packag:[0,1,2,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,66,70],paramet:67,parameter_optim:2,patient:66,pattern:67,pca:64,phase:67,plot:11,plot_barchart:11,plot_boxplot_featur:11,plot_boxplot_perform:11,plot_error:11,plot_estimator_perform:11,plot_hyperparamet:11,plot_imag:11,plot_pvalues_featur:11,plot_ranked_scor:11,plot_roc:11,plotminmaxrespons:11,preflightcheck:19,preprocess:[12,61,63],preprocessor:10,princip:64,process:[8,12,65],pyradiom:63,queue:66,quick:70,radiom:[60,67,69],rankedsvm:[],reduct:64,refer:[60,61],registr:61,regress:[61,64],regressor:2,relief:[10,64],resampl:[63,64],resourc:[13,68],result:70,roi:67,run:[67,70],scale:[61,64],scaler:10,scatterplot:[],searchcv:2,segment:71,segmentix:[12,63],segmentix_test:14,select:[64,66,67],selectfeatgroup:63,selectgroup:10,selectindividu:10,semant:[67,71],shape:67,simpleworc:[7,66],site:66,size:67,slicer:18,some:66,sourc:71,standard:[66,69],start:70,statist:[16,64],statisticaltestfeatur:10,statisticaltestthreshold:10,submit:66,subpackag:[0,7,13],surviv:64,tabl:60,tell:66,terminolog:69,test:[17,64,65],test_combat:17,test_help:17,test_iccthreshold:17,test_plot_error:17,test_valid:17,textur:67,tip:70,tone:67,tool:18,toolbox:65,trainclassifi:2,transformix:18,trick:70,tutori:70,type:66,univari:64,unreleas:[],use:66,used:66,user:[60,71],valid:19,varianc:64,variancethreshold:10,vessel:67,wavelet:67,welcom:60,where:66,width:67,worc:[0,60,66,71],worc_config:9,worckeyerror:66,worctutorialsimple_travis_multiclass:[],worctutorialsimple_travis_regress:[],worctutorialsimple_unittest_multiclass:17,worctutorialsimple_unittest_regress:17,worcvalueerror:66,work:66,workflow:60,would:66,your:[66,71],zone:67}})
\ No newline at end of file
diff --git a/WORC/doc/_build/html/static/changelog.html b/WORC/doc/_build/html/static/changelog.html
index a9aa173f..3c8da0a3 100644
--- a/WORC/doc/_build/html/static/changelog.html
+++ b/WORC/doc/_build/html/static/changelog.html
@@ -8,7 +8,7 @@
- Changelog — WORC 3.4.5 documentation
+ Changelog — WORC 3.5.0 documentation
@@ -64,7 +64,7 @@
- 3.4.5
+ 3.5.0
@@ -99,156 +99,162 @@
- Developer documentation
- Resource File Formats
- Changelog
-- 3.4.5 - 2021-07-09
+- 3.5.0 - 2021-08-18
-- 3.4.4 - 2021-07-01
+- 3.4.5 - 2021-07-09
-- 3.4.3 - 2021-06-02
+- 3.4.4 - 2021-07-01
-- 3.4.2 - 2021-05-27
-- Fixed
-- Added
+- 3.4.3 - 2021-06-02
-- 3.4.1 - 2021-05-18
-- Fixed
-- Changed
+- 3.4.2 - 2021-05-27
-- 3.4.0 - 2021-02-02
+- 3.4.1 - 2021-05-18
-- 3.3.5 - 2020-10-21
+- 3.4.0 - 2021-02-02
-- 3.3.4 - 2020-10-06
+- 3.3.5 - 2020-10-21
-- 3.3.3 - 2020-09-11
+- 3.3.4 - 2020-10-06
-- 3.3.2 - 2020-08-19
-- Fixed
-- Added
-- Changed
+- 3.3.3 - 2020-09-11
-- 3.3.1 - 2020-07-31
-- Changed
-- Fixed
+- 3.3.2 - 2020-08-19
-- 3.3.0 - 2020-07-28
-- Added
+- 3.3.1 - 2020-07-31
-- 3.2.2 - 2020-07-14
+- 3.3.0 - 2020-07-28
-- 3.2.1 - 2020-07-02
+- 3.2.2 - 2020-07-14
-- 3.2.0 - 2020-06-26
+- 3.2.1 - 2020-07-02
-- 3.1.4 - 2020-05-26
+- 3.2.0 - 2020-06-26
-- 3.1.3 - 2020-01-24
+- 3.1.4 - 2020-05-26
-- 3.1.2 - 2019-12-09
+- 3.1.3 - 2020-01-24
-- 3.1.1 - 2019-11-28
+- 3.1.2 - 2019-12-09
-- 3.1.0 - 2019-10-16
+- 3.1.1 - 2019-11-28
-- 3.0.0 - 2019-05-08
+- 3.1.0 - 2019-10-16
-- 2.1.3 - 2019-04-08
-- Changed
+- 3.0.0 - 2019-05-08
-- 2.1.2 - 2019-04-02
-- Added
-- Changed
-- Fixed
+- 2.1.3 - 2019-04-08
-- 2.1.1 - 2019-02-15
+- 2.1.2 - 2019-04-02
-- 2.1.0 - 2018-08-09
+- 2.1.1 - 2019-02-15
-- 2.0.0 - 2018-02-13
@@ -325,36 +331,62 @@ ChangelogKeep a Changelog
and this project adheres to Semantic Versioning
-3.4.5 - 2021-07-09¶
-
-Unit tests moved from Travis to Github Workflow from this verion on.
-
+3.5.0 - 2021-08-18¶
Fixed¶
-Bug in plotting images when ranking the posteriors or percentages.
-Linting issues.
+Bug in plotting 2D images when ranking the posteriors or percentages.
+Bug in Evaluate for Regression.
+Bug in BasicWORC for supplying label files.
+There is a bug in SimpleITK 2.1.0, which leads it to not be able
+to read certain NIFTI files. See: https://github.com/InsightSoftwareConsortium/ITK/issues/2674
+Reverting to SimpleITK 2.0.2 for now
Changed¶
-Removed deprecated scatterplot, RankedSVM functions.
+Defaults for splitting jobs in hyperoptimization: now more parallelized.
+
+
+
+Added¶
+
+Documentation on additional functionality.
-3.4.4 - 2021-07-01¶
+3.4.5 - 2021-07-09¶
+
+Unit tests moved from Travis to Github Workflow from this verion on.
+
Fixed¶
+Bug in plotting images when ranking the posteriors or percentages.
+Linting issues.
+
+
+
+Changed¶
+
+Removed deprecated scatterplot, RankedSVM functions.
+
+
+
+
+3.4.4 - 2021-07-01¶
+
+Fixed¶
+
Bug where most recent added estimators were not valid in SimpleWORC.
SelectorMixin is now imported directly from sklearn.feature_selection,
as sklearn.feature_selection.base is deprecated and will be removed.
-
-Changed¶
+
+Changed¶
Apply variance threshold selection before feature scaling, otherwise
variance is always the same for all features.
@@ -362,34 +394,34 @@ Changed
use changed from 0.20 to 0.275.
-
-Added¶
+
+Added¶
Functionality in plotting images functions.
Documentation on how to use your own features.
-
-3.4.3 - 2021-06-02¶
-
-Fixed¶
+
+3.4.3 - 2021-06-02¶
+
+Fixed¶
SimpleWORC and BasicWORC now support multilabel workflows.
SimpleWORC and BasicWORC now support use of masks.
-
-
-3.4.2 - 2021-05-27¶
-
-Fixed¶
+
+3.4.2 - 2021-05-27¶
+
+Fixed¶
Bug in flattening of plot_ranked_posteriors function.
Bug in plot_images: could not handle 2D images when applying slicing.
@@ -398,17 +430,17 @@ Fixed¶
Preflighcheck now also accepts labels from txt or XNAT.
-
-
-3.4.1 - 2021-05-18¶
-
-Fixed¶
+
+3.4.1 - 2021-05-18¶
+
+Fixed¶
Bugfix when PCA cannot be fitted.
Bugfix when using LOO cross-validation in performance evaluation.
@@ -421,16 +453,16 @@ Fixed
Several fixes for using 2D images.
-
-Changed¶
+
+Changed¶
Reverted back to weighted f1-score without predictproba for optimization,
more stable.
Updated regressors in SimpleWORC.
-
-
-3.4.0 - 2021-02-02¶
-
-Fixed¶
+
+3.4.0 - 2021-02-02¶
+
+Fixed¶
MAJOR: Bug in SearchCV sorting of output files.
Bug in StatisticalTest for Manhattan plot.
@@ -453,16 +485,16 @@ Fixed
Fix random states in boosting estimators.
-
-Changed¶
+
+Changed¶
IMPORTANT: previously, used f1_score based on estimator.predict function.
Now, use predict_proba.
New defaults for random-search and ensemble.
-
-
-3.3.5 - 2020-10-21¶
-
-Fixed¶
+
+3.3.5 - 2020-10-21¶
+
+Fixed¶
Some function cleaning: removing redundant parts / variables.
-
-Changed¶
+
+Changed¶
Part of developper documentation for addinf methods to hyperoptimization.
Default config: SelectFromModel incorporated, so now also use
that in feature selection step.
-
-
-3.3.4 - 2020-10-06¶
-
-Fixed¶
+
+3.3.4 - 2020-10-06¶
+
+Fixed¶
Bugfixes in some error messages.
If a classifier cannot give a score, use the prediction instead.
@@ -511,16 +543,16 @@ Fixed
Bugfix: use f1-weighted score in SimpleWORC binary classification.
-
-Changed¶
+
+Changed¶
There are no longer ‘’patient_features’’ in PREDICT: these are extracted
from the DICOM tags and are thus now called ‘’dicom_features.
As bootstrapping is now more efficient, increase default to 1000 iterations.
-
-
-3.3.3 - 2020-09-11¶
-
-Fixed¶
+
+3.3.3 - 2020-09-11¶
+
+Fixed¶
-
-Changed¶
+
+Changed¶
By default, semantic features are skipped in scaling, as the robust scaler
cannot deal well with categorical variables.
Wrapped scalers in single WORC scaler object to allow above for all scalers.
-
-
-3.3.2 - 2020-08-19¶
-
-Fixed¶
+
+3.3.2 - 2020-08-19¶
+
+Fixed¶
Bug in fit and score when using scaling: was incorrectly parsed as string
and always set to None.
@@ -572,16 +604,16 @@ Fixed
Typo in configuration documentation.
-
-Added¶
+
+Added¶
New type of scaler (robust z-scoring)
Resampling of image and mask in preprocessing (preprocessing and segmentix
nodes)
-
-
-3.3.1 - 2020-07-31¶
-
-Changed¶
+
+3.3.1 - 2020-07-31¶
+
+Changed¶
-
-
-3.3.0 - 2020-07-28¶
-
-Added¶
+
+3.3.0 - 2020-07-28¶
+
+Added¶
Graphviz vizualization of network is now nicely grouped.
Properly integrated ObjectSampler: various resampling options now available.
@@ -620,8 +652,8 @@ Added
FAQ version to documentation
-
-Changed¶
+
+Changed¶
Upgraded to new versions of sklearn (0.23.1) and imbalanced learn (0.7.0)
Some defaults, based on computation time.
@@ -635,8 +667,8 @@ ChangedL1 penalty does not work with new standard LR solver. Removed L1 penalty.
-
-
-3.2.2 - 2020-07-14¶
-
-Added¶
+
+3.2.2 - 2020-07-14¶
+
+Added¶
In classify node, when using temporary saves, start from where
the process previously stopped instead of from the beginning.
Imputation to ComBat.
-
-Changed¶
+
+Changed¶
-
-
-3.2.1 - 2020-07-02¶
-
-Added¶
+
+3.2.1 - 2020-07-02¶
+
+Added¶
Major documentation update.
-
-Changed¶
+
+Changed¶
-
-
-3.2.0 - 2020-06-26¶
-
-Added¶
+
+3.2.0 - 2020-06-26¶
+
+Added¶
Labelprocessing can now also handle having patient ID in the feature files.
Was required for ComBat.
-
-Changed¶
+
+Changed¶
Output of plot_SVM function is better ordered.
Several defaults, as we now have PyRadiomics fully embedded, resulting in
@@ -731,8 +763,8 @@
ChangedNo more overrides for the full config, as the default now is the full config.
-
-
-3.1.4 - 2020-05-26¶
-
-Added¶
+
+3.1.4 - 2020-05-26¶
+
+Added¶
Catch error if number of segmentations supplied does not match number of
images.
@@ -777,8 +809,8 @@ Added
Combat: in WORK workflow.
-
-Changed¶
+
+Changed¶
Resampling of objects is now after feature selection.
Made plot_SVM function more memory efficient.
@@ -792,8 +824,8 @@ ChangedSegmentix tool is cleaned up. Segmentix script is moved to processing.
-
-
-3.1.3 - 2020-01-24¶
-
-Added¶
+
+3.1.3 - 2020-01-24¶
+
+Added¶
Some options for the plot_images slicer function.
Validators to check your inputs before executing experiment.
@@ -821,8 +853,8 @@ Added
Error when config file cannot be found.
-
-Changed¶
+
+Changed¶
Preprocessor slows down progress and is not always neccesary. Made it optional.
Moved the preprocessor to the SearchCV script to do once on the training set,
@@ -833,18 +865,18 @@
ChangedJoblib now uses by default only 1 core and threading backend.
-
-Fixed¶
+
+Fixed¶
Bug in patient naming of plotting function: if ensembling was done in training,
do not re-ensemble.
-
-3.1.2 - 2019-12-09¶
-
-Added¶
+
+3.1.2 - 2019-12-09¶
+
+Added¶
Support for Oncoradiomics RadiomiX tool
Groupwise Search includes GLDZM, Fractal, location, NGTDM, NGLDM, wavelet,
@@ -854,38 +886,38 @@
Added
are ran. Mostly to detect possible faults/errors in the data.
-
-Changed¶
+
+Changed¶
On runtime, copy config.d file if it does not exist yet.
-
-Fixed¶
+
+Fixed¶
KNN imputation gave an error if >80% of the feature values were missing.
Added preprocessing function to remove these features.
-
-3.1.1 - 2019-11-28¶
-
-Added¶
+
+3.1.1 - 2019-11-28¶
+
+Added¶
Travis continuous integration for Windows.
Removed RT Struct Reader, as it was buggy and not used.
-
-Changed¶
+
+Changed¶
SimpleWORC now properly uses the fastr FileSystem plugin, instead
of supplying the absolute filepaths.
-
-
-3.1.0 - 2019-10-16¶
-
-Added¶
+
+3.1.0 - 2019-10-16¶
+
+Added¶
Thresholding option in plot_SVM.
NPV (Negative Preditive Value) to classification metrics.
@@ -924,8 +956,8 @@ Added
Various detectors.
-
-Changed¶
+
+Changed¶
Plot_SVR is removed: it’s now embedded in plot_SVM.
Moved statistical feature selection to last step in fit and score.
@@ -939,8 +971,8 @@ ChangedUse inspect to find packagedir
-
-
-3.0.0 - 2019-05-08¶
-
-Added¶
+
+3.0.0 - 2019-05-08¶
+
+Added¶
Now ported to Python3.6+ (Python 2 is no longer supported!). Thereby also
to fastr3.
@@ -981,8 +1013,8 @@ Added
Config is now also a sink.
-
-Changed¶
+
+Changed¶
PCE and DTI node removed, as they were not open source.
Pinfo file can now also be a csv. Txt is still supported.
@@ -991,8 +1023,8 @@ ChangedWhen the conffidence interval cannot be computed, just use the mean.
-
-
-2.1.3 - 2019-04-08¶
-
-Changed¶
+
+2.1.3 - 2019-04-08¶
+
+Changed¶
PREDICT was updated, so had to update the requirements. Changed it
to a minimum of PREDICT to prevent these issues in the future.
-
-2.1.2 - 2019-04-02¶
-
-Added¶
+
+2.1.2 - 2019-04-02¶
+
+Added¶
Dummy workflow in segmentix and calcfeatures PREDICT tools.
Added several new PREDICT parameters.
Slicer tool.
-
-Changed¶
+
+Changed¶
Memory for elastix tool is now larger.
-
-
-2.1.1 - 2019-02-15¶
-
-Added¶
+
+2.1.1 - 2019-02-15¶
+
+Added¶
Several new PREDICT variables to the config.
Multilabel classification workflow.
@@ -1045,26 +1077,26 @@ Added
RankedSVM multilabel classification and Relief feature selection.
-
-Changed¶
+
+Changed¶
Major reduction in memory usage, especially due to PREDICT updates.
Only use first configuration in the classify config.
Outputs are now in multiple subfolders instead of one big folder.
-
-Fixed¶
+
+Fixed¶
Minor bug in test workflow: needed str of label in appending to classify.
There was a bug in using a .ini file as a config.
-
-2.1.0 - 2018-08-09¶
-
-Added¶
+
+2.1.0 - 2018-08-09¶
+
+Added¶
Feature imputation settings in WORC config.
PCA settings in WORC config.
@@ -1086,8 +1118,8 @@ Added
whether a temporary save will be made after each cross validation.
-
-Changed¶
+
+Changed¶
-
-
-2.0.0 - 2018-02-13¶
-
-Added¶
+
+2.0.0 - 2018-02-13¶
+
+Added¶
Elastix and transformix as separate workflow in the tools folder. Can be used
through the WORC.Tools attribute.
@@ -1121,8 +1153,8 @@ Added
trainclassifier tool in terms of inputs and outputs.
-
-Changed¶
+
+Changed¶
-
-Fixed¶
+
+Fixed¶
Proper combining of features from multiple modalities to classify tool.
Minor bugs in segmentix tool.
diff --git a/WORC/doc/_build/html/static/configuration.html b/WORC/doc/_build/html/static/configuration.html
index e79fbbd2..7d5fe152 100644
--- a/WORC/doc/_build/html/static/configuration.html
+++ b/WORC/doc/_build/html/static/configuration.html
@@ -8,7 +8,7 @@
- Configuration — WORC 3.4.5 documentation
+ Configuration — WORC 3.5.0 documentation
@@ -64,7 +64,7 @@
- 3.4.5
+ 3.5.0
@@ -550,7 +550,7 @@ Contentsthe additional functionality chapter.
+the additional functionality chapter.
Description: