From a0eb018f36082064738a8292c331f0b9ddedb881 Mon Sep 17 00:00:00 2001 From: MStarmans91 Date: Fri, 23 Jul 2021 08:48:10 +0200 Subject: [PATCH 01/10] Bugfix for plotting 2D images. --- CHANGELOG | 8 ++++++++ WORC/plotting/plot_images.py | 28 ++++++++++++++++++---------- 2 files changed, 26 insertions(+), 10 deletions(-) diff --git a/CHANGELOG b/CHANGELOG index 1c0e2a07..63a21385 100644 --- a/CHANGELOG +++ b/CHANGELOG @@ -7,6 +7,14 @@ The format is based on `Keep a Changelog `_ and this project adheres to `Semantic Versioning `_ +Unreleased +------------ + +Fixed +~~~~~ +- Bug in plotting 2D images when ranking the posteriors or percentages. + + 3.4.5 - 2021-07-09 ------------------ Unit tests moved from Travis to Github Workflow from this verion on. diff --git a/WORC/plotting/plot_images.py b/WORC/plotting/plot_images.py index f16c34fc..e2e77325 100644 --- a/WORC/plotting/plot_images.py +++ b/WORC/plotting/plot_images.py @@ -53,21 +53,29 @@ def extract_boundary(contour, radius=2): 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) @@ -134,7 +142,7 @@ def slicer(image, mask=None, output_name=None, output_name_zoom=None, 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.') From 5e447093b16e0730b5be186cd96b3d3c7440322a Mon Sep 17 00:00:00 2001 From: MStarmans91 Date: Fri, 30 Jul 2021 10:19:02 +0200 Subject: [PATCH 02/10] Bugfix in Evaluate for Regression. --- CHANGELOG | 1 + WORC/tools/Evaluate.py | 19 ++++++++++--------- 2 files changed, 11 insertions(+), 9 deletions(-) diff --git a/CHANGELOG b/CHANGELOG index 63a21385..5d0b7cfb 100644 --- a/CHANGELOG +++ b/CHANGELOG @@ -13,6 +13,7 @@ Unreleased Fixed ~~~~~ - Bug in plotting 2D images when ranking the posteriors or percentages. +- Bug in Evaluate for Regression. 3.4.5 - 2021-07-09 diff --git a/WORC/tools/Evaluate.py b/WORC/tools/Evaluate.py index 54c0519f..1a4c045c 100644 --- a/WORC/tools/Evaluate.py +++ b/WORC/tools/Evaluate.py @@ -429,8 +429,8 @@ def create_links_Addon(self): 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']) @@ -438,8 +438,8 @@ def create_links_Addon(self): # 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: @@ -454,8 +454,8 @@ def create_links_Addon(self): 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'] @@ -463,8 +463,8 @@ def create_links_Addon(self): # 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 @@ -474,16 +474,17 @@ def create_links_Addon(self): 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: From 34a7ac52747c9a30c23a6f635c46055a73787d66 Mon Sep 17 00:00:00 2001 From: "t.phil" Date: Fri, 30 Jul 2021 16:47:00 +0200 Subject: [PATCH 03/10] Added hyper param space -> LaTeX exporter --- WORC/WORC.py | 8 +++++ WORC/export/__init__.py | 0 WORC/export/hyper_params_exporter.py | 51 ++++++++++++++++++++++++++++ 3 files changed, 59 insertions(+) create mode 100644 WORC/export/__init__.py create mode 100644 WORC/export/hyper_params_exporter.py diff --git a/WORC/WORC.py b/WORC/WORC.py index 8ddf6688..39b1ad69 100644 --- a/WORC/WORC.py +++ b/WORC/WORC.py @@ -30,6 +30,8 @@ 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 unquote_plus, urlparse class WORC(object): @@ -1752,6 +1754,12 @@ def execute(self): 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(unquote_plus(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/export/__init__.py b/WORC/export/__init__.py new file mode 100644 index 00000000..e69de29b diff --git a/WORC/export/hyper_params_exporter.py b/WORC/export/hyper_params_exporter.py new file mode 100644 index 00000000..621f5901 --- /dev/null +++ b/WORC/export/hyper_params_exporter.py @@ -0,0 +1,51 @@ +from WORC.IOparser.config_io_classifier import load_config +from WORC.classification.construct_classifier import create_param_grid +from WORC.classification.trainclassifier import add_parameters_to_grid +from WORC.classification.AdvancedSampler import log_uniform, discrete_uniform, boolean_uniform +from scipy.stats._distn_infrastructure import rv_frozen + +printers = { + log_uniform: lambda x: '$\mathcal{U}^l(' + str(x.base) + '^{' + str(x.loc) + '}, ' + str(x.base) + '^{' + str( + x.loc + x.scale) + '})$', + discrete_uniform: lambda x: '$\mathcal{U}^d(' + str(x.loc) + ', ' + str(x.loc + x.scale) + ')$', + rv_frozen: lambda x: '$\mathcal{U}(' + str(x.kwds['loc']) + ', ' + str(x.kwds['loc'] + x.kwds['scale']) + ')$', + boolean_uniform: lambda x: '$\mathcal{B}(' + str(x.threshold) + ')$', + list: lambda x: '{[' + ', '.join([str(y).replace('_', '\_') for y in x]) + ']}' +} + +exclude = [ # exclude certain params as they are not part of hyp par optim + 'FeatureScaling_skip_features', + 'FeatPreProcess', + 'OneHotEncoding_feature_labels_tofit', +] + +printer_types = tuple(printers.keys()) + + +def export_hyper_params_to_latex(config_file_path, output_file_path): + config = load_config(config_file_path) + param_grid = create_param_grid(config) + params = add_parameters_to_grid(param_grid, config) + + table_out = '' + + for param in sorted(params.keys()): + if param in exclude: + continue + + distri = params[param] + if isinstance(distri, printer_types): + tex = printers[distri.__class__](distri) + table_out += param.replace("_", "\\_") + f' & {tex} ' + '\\\\ \\hline\n' + else: + raise ValueError(f'Could not map {param} - {distri.__dict__}') + + table = """\\begin{table}[] +\\begin{tabular}{l|l} +""" + table_out + """ +\\end{tabular} +\\end{table} +""" + + with open(output_file_path, 'w') as fh: + fh.write(table) From 83185238005cc60c26a226673d909cac417b85b4 Mon Sep 17 00:00:00 2001 From: "t.phil" Date: Fri, 30 Jul 2021 17:13:34 +0200 Subject: [PATCH 04/10] Hyper param search table bugfix windows --- WORC/WORC.py | 5 +++-- 1 file changed, 3 insertions(+), 2 deletions(-) diff --git a/WORC/WORC.py b/WORC/WORC.py index 39b1ad69..12b049c8 100644 --- a/WORC/WORC.py +++ b/WORC/WORC.py @@ -31,7 +31,8 @@ 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 unquote_plus, urlparse +from urllib.parse import urlparse +from urllib.request import url2pathname class WORC(object): @@ -1756,7 +1757,7 @@ def execute(self): # export hyper param. search space to LaTeX table for config in self.fastrconfigs: - config_path = Path(unquote_plus(urlparse(config).path)) + 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) From b815a000c13aa0537e71be042b2ceb21581e9489 Mon Sep 17 00:00:00 2001 From: MStarmans91 Date: Mon, 16 Aug 2021 15:54:45 +0200 Subject: [PATCH 05/10] Bugfix in BasicWORC. --- CHANGELOG | 3 ++- README.md | 2 +- README.rst | 2 +- WORC/WORC.py | 2 +- WORC/facade/basicworc.py | 4 ++-- setup.py | 2 +- version | 2 +- 7 files changed, 9 insertions(+), 8 deletions(-) diff --git a/CHANGELOG b/CHANGELOG index 5d0b7cfb..7d274952 100644 --- a/CHANGELOG +++ b/CHANGELOG @@ -7,13 +7,14 @@ The format is based on `Keep a Changelog `_ and this project adheres to `Semantic Versioning `_ -Unreleased +3.5.0 - Unreleased ------------ Fixed ~~~~~ - Bug in plotting 2D images when ranking the posteriors or percentages. - Bug in Evaluate for Regression. +- Bug in BasicWORC for supplying label files. 3.4.5 - 2021-07-09 diff --git a/README.md b/README.md index 86217d50..7b69bef0 100644 --- a/README.md +++ b/README.md @@ -1,4 +1,4 @@ -# WORC v3.4.5 +# WORC v3.5.0 ## Workflow for Optimal Radiomics Classification ## Information diff --git a/README.rst b/README.rst index afe27ca0..e80b8a70 100644 --- a/README.rst +++ b/README.rst @@ -1,4 +1,4 @@ -WORC v3.4.5 +WORC v3.5.0 =========== Workflow for Optimal Radiomics Classification diff --git a/WORC/WORC.py b/WORC/WORC.py index 12b049c8..3d976618 100644 --- a/WORC/WORC.py +++ b/WORC/WORC.py @@ -148,7 +148,7 @@ def __init__(self, name='test'): self.fixedsplits = list() # Set some defaults, name - self.fastr_plugin = 'LinearExecution' + self.fastr_plugin = None if name == '': name = [randint(0, 9) for p in range(0, 5)] self.fastr_tmpdir = os.path.join(fastr.config.mounts['tmp'], self.name) diff --git a/WORC/facade/basicworc.py b/WORC/facade/basicworc.py index aeb758ec..48bf8f92 100644 --- a/WORC/facade/basicworc.py +++ b/WORC/facade/basicworc.py @@ -108,7 +108,7 @@ def execute(self): self._worc.masks_train = self._masks_train if self.labels_file_train: - self._worc.labels_train = self.labels_train + self._worc.labels_train = self.labels_file_train elif self._labels_file_train: self._worc.labels_train = self._labels_file_train @@ -139,7 +139,7 @@ def execute(self): self._worc.masks_test = self._masks_test if self.labels_file_test: - self._worc.labels_test = self.labels_test + self._worc.labels_test = self.labels_file_test elif self._labels_file_test: self._worc.labels_test = self._labels_file_test diff --git a/setup.py b/setup.py index 0241e359..df3a350d 100644 --- a/setup.py +++ b/setup.py @@ -93,7 +93,7 @@ def run_tests(self): setup( name='WORC', - version='3.4.5', + version='3.5.0', description='Workflow for Optimal Radiomics Classification.', long_description=_description, url='https://github.com/MStarmans91/WORC', diff --git a/version b/version index 4f5e6973..1545d966 100644 --- a/version +++ b/version @@ -1 +1 @@ -3.4.5 +3.5.0 From 6863a8ab522498854407e1b441b6ca664ac265ff Mon Sep 17 00:00:00 2001 From: MStarmans91 Date: Mon, 16 Aug 2021 16:24:19 +0200 Subject: [PATCH 06/10] Introduced a bug in previous fix. --- WORC/WORC.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/WORC/WORC.py b/WORC/WORC.py index 3d976618..12b049c8 100644 --- a/WORC/WORC.py +++ b/WORC/WORC.py @@ -148,7 +148,7 @@ def __init__(self, name='test'): self.fixedsplits = list() # Set some defaults, name - self.fastr_plugin = None + self.fastr_plugin = 'LinearExecution' if name == '': name = [randint(0, 9) for p in range(0, 5)] self.fastr_tmpdir = os.path.join(fastr.config.mounts['tmp'], self.name) From cc46f618caf5b2889c08c27c2f9c55c0087c41cf Mon Sep 17 00:00:00 2001 From: MStarmans91 Date: Mon, 16 Aug 2021 17:18:57 +0200 Subject: [PATCH 07/10] Updates to documentation. --- WORC/doc/index.template | 4 +- WORC/doc/static/additionalfunctionality.rst | 123 ++++++++++++++++++-- WORC/doc/static/user_manual.rst | 2 +- 3 files changed, 115 insertions(+), 14 deletions(-) diff --git a/WORC/doc/index.template b/WORC/doc/index.template index 3fdb9dd0..8cf41f61 100644 --- a/WORC/doc/index.template +++ b/WORC/doc/index.template @@ -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 diff --git a/WORC/doc/static/additionalfunctionality.rst b/WORC/doc/static/additionalfunctionality.rst index 6fd06948..077fe4a0 100644 --- a/WORC/doc/static/additionalfunctionality.rst +++ b/WORC/doc/static/additionalfunctionality.rst @@ -53,19 +53,80 @@ Options for preprocessing the segmentation include: 10. Resampling the segmentation **and the segmentation** to a different spacing. Same as image preprocessing step 10. +Feature scaling +-------------------- +The default method for feature scaling in ``WORC`` is a robust version +of z-scoring. Additional options include: + +1. regular z-scoring +2. MinMax scaling, i.e., scaling to a range between 0 and 1 +3. Scaling by centering using the median and IQR +4. A combination of z-scoring with a logarithmic transform and a correction + term to better cope with outliers and non-normally distributed features [CIT1]_. + +.. [CIT1] Chen, Jianan, et al. *AMINN: Autoencoder-based Multiple Instance + Neural Network for Outcome Prediction of Multifocal Liver Metastases.* + arXiv preprint arXiv:2012.06875 (2020). + + + Image Registration ------------------- -Documentation WIP. +When using multiple modalities or sequences, and there is only a segmentation +on a single image, image registration is applied to spatially align all +sequences and warp the segmentation to the other images through +``elastix`` [CIT2]_. Usage of ``elastix`` is automatically included in ``WORC`` +when only a single segmentation and multiple modalities are supplied. +The image on which the segmentation is provided is used as the moving image, +the others as the fixed image, as the segmentations will be moved from the +segmented image to the others. + +Registration is by default performed using a +rigid transformation model, based on a mutual information using the adaptive +stochastic gradient descent optimizer. Manual +overrides of these defaults are included in the ``WORC`` configuration. + + +When using Elastix, parameter files have to be provided in the +``network.Elastix_Para`` object, e.g. + +.. code-block:: python + + network.Elastix_Para = [['Parameters_Rigid.txt', 'Parameters_BSpline.txt']] + +The outer list defines the parameter files used per modality. If only one +element is provided, the same will be applied for all modalities. Each element +of the list should be a list of its own, including the filenames +of ``elastix``. In the example, we provided two files, resulting +in first a rigid registration being performed, followed by a bspline registration. +Examples of ``elastix`` parameter files can be found at https://github.com/SuperElastix/ElastixModelZoo/tree/master/models/default + +.. [CIT2] Klein, Stefan, et al. *Elastix: a toolbox for intensity-based medical + image registration.* IEEE transactions on medical imaging 29.1 (2009): 196-205. ComBat -------- -ComBat feature harmonization is embedded in WORC. A wrapper, compatible with -the other tools provided by WORC, is included in the installation. We have included -wrapping around the Matlab and Python code (neurocombat) from the -original `ComBat code `_. We recommend -to use the Python code by default. +Commonly, radiomics studies include multicenter data, +resulting in heterogeneity in the acquisition protocols. As radiomics features +are generally sensitive to these variations, this limits the repeatability and +reproducibility. To compensate for the differences in acquisition, feature +harmonization techniques may be used, one of the most frequently used +is ComBat. In ComBat, feature distributions are harmonized for variations in +the imaging acquisition, e.g. due to differences in hospitals, manufacturers, +or acquisition parameters. The dataset is divided in groups based on these +differences, and a correction of the error caused by these differences +is estimated using empirical Bayes. + +ComBat is included in ``WORC`` and can be turned on in the configuration, +including options to use empirical Bayes or not, a parametric or +non-parametric approach, and a moderation variable. + +ComBat feature harmonization is embedded in WORC. A wrapper around the +original `ComBat code `_, +compatible with the other tools provided by ``WORC``, is included in the +``WORC`` installation. When using ComBat, the following configurations should be done: @@ -80,10 +141,48 @@ When using ComBat, the following configurations should be done: straight after the feature extraction, thus before the actual hyperoptimization. Hence, to avoid serious overfitting, we advice to **NEVER** use the variable you are trying to predict as the moderation variable. - -Additional classifiers ------------------------ -When using the XGDBoost classifiers or regressors, install ``xgdboost``, -which can be done using ``pip``, see https://xgboost.readthedocs.io/en/latest/python/python_intro.html. -``WORC`` makes use of the scikit-learn API. +Multilabel classification and regression +---------------------------------------- +While ``WORC`` was primarily designed for binary classification, as also +demonstrated in the main manuscript, various other types of machine +learning workflows have been included as well. + +In multilabel classification, several mutually exclusive classes are +predicted at the same time. This is a special form of multiclass classification, +in which the classes do not have to be mutually exclusive. When using +multilabel classification in ``WORC``, the only differences with binary +classification in the workflows is in the machine learning component. +For the other components, e.g. feature selection and resampling, when not +supporting multiclass classification, the methods are performed per +class in a one-vs-rest approach. Some of the binary classifiers naturally +support multilabel classification (i.e., random forest, AdaBoost, +and extreme gradient boosting) and are thus normally used. Others only +support binary classification (i.e., LDA, QDA, Naive Bayes, SVM, logistic +regression), and are therefore also performed per class in a one-vs-rest +approach and combined in a single multilabel model. In the evaluation, +the same metrics as in the binary classification are evaluated per class. +Additionally, the multiclass AUC [CITRN662]_. and multiclass BCR are computed. + +.. [CITRN662] Hand, David J., and Robert J. Till. *A simple generalisation + of the area under the ROC curve for multiple class classification problems.* + Machine learning 45.2 (2001): 171-186. + +In regression, a continuous label is predicted. As there are no classes, +all class-based feature and sample preprocessing methods +(RELIEF, univariate testing, and all resampling methods) cannot be used. +In the machine learning component, ``WORC`` includes the following regressors: + +1. linear regression; +2. support vector machines; +3. random forest; +4. elastic net; +5. LASSO; +6. ridge regression; +7. AdaBoost; +8. extreme gradient boosting (XGBoost). + +The optimization is by default based on the R2-score. Performance metrics +computed are the rw-score, mean squared error, inter-class correlation +coefficient, Pearson coefficient and p-value, and Spearman coefficient +and p-value. diff --git a/WORC/doc/static/user_manual.rst b/WORC/doc/static/user_manual.rst index e2a03444..a8cb3dae 100644 --- a/WORC/doc/static/user_manual.rst +++ b/WORC/doc/static/user_manual.rst @@ -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: From cb31c732fa6247f6769239ee07e5def0f5e99eab Mon Sep 17 00:00:00 2001 From: MStarmans91 Date: Mon, 16 Aug 2021 17:32:22 +0200 Subject: [PATCH 08/10] More documentation updates. --- WORC/doc/index.template | 31 ++++----------------- WORC/doc/static/additionalfunctionality.rst | 30 ++++++++++---------- 2 files changed, 21 insertions(+), 40 deletions(-) diff --git a/WORC/doc/index.template b/WORC/doc/index.template index 8cf41f61..2c2b983b 100644 --- a/WORC/doc/index.template +++ b/WORC/doc/index.template @@ -39,7 +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. `_ @@ -47,6 +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: @@ -59,38 +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: $contributors diff --git a/WORC/doc/static/additionalfunctionality.rst b/WORC/doc/static/additionalfunctionality.rst index 077fe4a0..77e64ebb 100644 --- a/WORC/doc/static/additionalfunctionality.rst +++ b/WORC/doc/static/additionalfunctionality.rst @@ -1,4 +1,4 @@ -.. additonalfunctionality-chapter: +.. _additonalfunctionality-chapter: Additional functionality ======================== @@ -64,12 +64,6 @@ of z-scoring. Additional options include: 4. A combination of z-scoring with a logarithmic transform and a correction term to better cope with outliers and non-normally distributed features [CIT1]_. -.. [CIT1] Chen, Jianan, et al. *AMINN: Autoencoder-based Multiple Instance - Neural Network for Outcome Prediction of Multifocal Liver Metastases.* - arXiv preprint arXiv:2012.06875 (2020). - - - Image Registration ------------------- @@ -102,9 +96,6 @@ of ``elastix``. In the example, we provided two files, resulting in first a rigid registration being performed, followed by a bspline registration. Examples of ``elastix`` parameter files can be found at https://github.com/SuperElastix/ElastixModelZoo/tree/master/models/default -.. [CIT2] Klein, Stefan, et al. *Elastix: a toolbox for intensity-based medical - image registration.* IEEE transactions on medical imaging 29.1 (2009): 196-205. - ComBat -------- @@ -162,11 +153,7 @@ support binary classification (i.e., LDA, QDA, Naive Bayes, SVM, logistic regression), and are therefore also performed per class in a one-vs-rest approach and combined in a single multilabel model. In the evaluation, the same metrics as in the binary classification are evaluated per class. -Additionally, the multiclass AUC [CITRN662]_. and multiclass BCR are computed. - -.. [CITRN662] Hand, David J., and Robert J. Till. *A simple generalisation - of the area under the ROC curve for multiple class classification problems.* - Machine learning 45.2 (2001): 171-186. +Additionally, the multiclass AUC [CIT3]_. and multiclass BCR are computed. In regression, a continuous label is predicted. As there are no classes, all class-based feature and sample preprocessing methods @@ -186,3 +173,16 @@ The optimization is by default based on the R2-score. Performance metrics computed are the rw-score, mean squared error, inter-class correlation coefficient, Pearson coefficient and p-value, and Spearman coefficient and p-value. + +References +------------ +.. [CIT1] Chen, Jianan, et al. *AMINN: Autoencoder-based Multiple Instance + Neural Network for Outcome Prediction of Multifocal Liver Metastases.* + arXiv preprint arXiv:2012.06875 (2020). + +.. [CIT2] Klein, Stefan, et al. *Elastix: a toolbox for intensity-based medical + image registration.* IEEE transactions on medical imaging 29.1 (2009): 196-205. + +.. [CIT3] Hand, David J., and Robert J. Till. *A simple generalisation + of the area under the ROC curve for multiple class classification problems.* + Machine learning 45.2 (2001): 171-186. From aefaaaf049e0846e1bc6a6f93a554aca7f55489d Mon Sep 17 00:00:00 2001 From: MStarmans91 Date: Tue, 17 Aug 2021 13:35:21 +0200 Subject: [PATCH 09/10] Bugfix, change some defaults. --- CHANGELOG | 10 ++++++++++ WORC/WORC.py | 2 +- WORC/facade/helpers/configbuilder.py | 4 ++-- requirements.txt | 2 +- 4 files changed, 14 insertions(+), 4 deletions(-) diff --git a/CHANGELOG b/CHANGELOG index 7d274952..8133557c 100644 --- a/CHANGELOG +++ b/CHANGELOG @@ -15,7 +15,17 @@ Fixed - 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 +~~~~~~~ +- Defaults for splitting jobs in hyperoptimization: now more parallelized. + +Added +~~~~~~~ +- Documentation on additional functionality. 3.4.5 - 2021-07-09 ------------------ diff --git a/WORC/WORC.py b/WORC/WORC.py index 12b049c8..8d8293dd 100644 --- a/WORC/WORC.py +++ b/WORC/WORC.py @@ -474,7 +474,7 @@ def defaultconfig(self): 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' diff --git a/WORC/facade/helpers/configbuilder.py b/WORC/facade/helpers/configbuilder.py index 25245782..5c5067d2 100644 --- a/WORC/facade/helpers/configbuilder.py +++ b/WORC/facade/helpers/configbuilder.py @@ -72,13 +72,13 @@ def _cluster_config_overrides(self): 'Joblib_backend': 'threading'}, 'Classification': {'fastr': 'True', 'fastr_plugin': 'DRMAAExecution'}, - 'HyperOptimization': {'n_jobspercore': '1000'} + 'HyperOptimization': {'n_jobspercore': '200'} } elif CartesiusClusterDetector().do_detection(): overrides = { 'Classification': {'fastr': 'True', 'fastr_plugin': 'ProcessPoolExecution'}, - 'HyperOptimization': {'n_jobspercore': '2000'} + 'HyperOptimization': {'n_jobspercore': '200'} } else: overrides = {} # not a cluster or unsupported diff --git a/requirements.txt b/requirements.txt index 08a20f58..5682407b 100644 --- a/requirements.txt +++ b/requirements.txt @@ -17,7 +17,7 @@ python-dateutil<=2.8.0 pyyaml>=5.3.1 scikit-learn==0.23.1 scipy>=1.2.1,<=1.5.4 -SimpleITK>=1.2.0 +SimpleITK>=1.2.0,<=2.0.2 six>=1.10.0 sphinx>=1.4 tables>=3.5.1 From 8011d88ba1b3465b541d7381044c5e27572137b8 Mon Sep 17 00:00:00 2001 From: MStarmans91 Date: Thu, 19 Aug 2021 12:03:58 +0200 Subject: [PATCH 10/10] Prepare for 3.5.0 release. --- CHANGELOG | 2 +- WORC/doc/_build/doctrees/autogen/WORC.doctree | Bin 100790 -> 100820 bytes .../doctrees/autogen/WORC.plotting.doctree | Bin 147879 -> 147919 bytes WORC/doc/_build/doctrees/environment.pickle | Bin 2894437 -> 2902053 bytes WORC/doc/_build/doctrees/index.doctree | Bin 63664 -> 43361 bytes .../_build/doctrees/static/changelog.doctree | Bin 151291 -> 156277 bytes .../doctrees/static/configuration.doctree | Bin 370385 -> 370385 bytes .../doctrees/static/user_manual.doctree | Bin 71766 -> 71808 bytes WORC/doc/_build/html/.buildinfo | 2 +- .../_modules/WORC/IOparser/config_WORC.html | 4 +- .../WORC/IOparser/config_io_classifier.html | 4 +- .../WORC/IOparser/config_preprocessing.html | 4 +- .../WORC/IOparser/config_segmentix.html | 4 +- .../html/_modules/WORC/IOparser/file_io.html | 4 +- WORC/doc/_build/html/_modules/WORC/WORC.html | 15 +- .../html/_modules/WORC/addexceptions.html | 4 +- .../WORC/classification/AdvancedSampler.html | 4 +- .../WORC/classification/ObjectSampler.html | 4 +- .../WORC/classification/RankedSVM.html | 4 +- .../WORC/classification/SearchCV.html | 4 +- .../classification/construct_classifier.html | 4 +- .../classification/createfixedsplits.html | 4 +- .../WORC/classification/crossval.html | 4 +- .../WORC/classification/estimators.html | 4 +- .../WORC/classification/fitandscore.html | 4 +- .../_modules/WORC/classification/metrics.html | 4 +- .../parameter_optimization.html | 4 +- .../WORC/classification/trainclassifier.html | 4 +- .../_modules/WORC/detectors/detectors.html | 4 +- .../WORC/exampledata/datadownloader.html | 4 +- .../WORC/featureprocessing/Imputer.html | 4 +- .../WORC/featureprocessing/Relief.html | 4 +- .../WORC/featureprocessing/SelectGroups.html | 4 +- .../featureprocessing/SelectIndividuals.html | 4 +- .../StatisticalTestFeatures.html | 4 +- .../StatisticalTestThreshold.html | 4 +- .../featureprocessing/VarianceThreshold.html | 4 +- .../_modules/WORC/plotting/compute_CI.html | 4 +- .../_modules/WORC/plotting/linstretch.html | 4 +- .../html/_modules/WORC/plotting/plot_ROC.html | 4 +- .../_modules/WORC/plotting/plot_barchart.html | 4 +- .../_modules/WORC/plotting/plot_images.html | 32 +- .../WORC/plotting/plot_ranked_scores.html | 4 +- .../_modules/WORC/plotting/scatterplot.html | 4 +- .../processing/ExtractNLargestBlobsn.html | 4 +- .../_modules/WORC/processing/classes.html | 4 +- .../WORC/processing/label_processing.html | 4 +- .../fastr_tests/CalcFeatures_test.html | 4 +- .../resources/fastr_tests/elastix_test.html | 4 +- .../resources/fastr_tests/segmentix_test.html | 4 +- .../html/_modules/WORC/tools/Elastix.html | 4 +- .../html/_modules/WORC/tools/Evaluate.html | 23 +- .../html/_modules/WORC/tools/Slicer.html | 4 +- .../html/_modules/WORC/tools/Transformix.html | 4 +- .../WORC/tools/createfixedsplits.html | 4 +- WORC/doc/_build/html/_modules/index.html | 5 +- .../_build/html/_sources/autogen/WORC.rst.txt | 1 + WORC/doc/_build/html/_sources/index.rst.txt | 35 +- .../html/_sources/static/user_manual.rst.txt | 2 +- .../html/_static/documentation_options.js | 2 +- .../_build/html/autogen/WORC.IOparser.html | 5 +- .../html/autogen/WORC.classification.html | 5 +- WORC/doc/_build/html/autogen/WORC.config.html | 4 +- .../_build/html/autogen/WORC.detectors.html | 5 +- .../_build/html/autogen/WORC.exampledata.html | 9 +- WORC/doc/_build/html/autogen/WORC.facade.html | 11 +- .../html/autogen/WORC.featureprocessing.html | 5 +- WORC/doc/_build/html/autogen/WORC.html | 9 +- .../_build/html/autogen/WORC.plotting.html | 7 +- .../_build/html/autogen/WORC.processing.html | 5 +- .../autogen/WORC.resources.fastr_tests.html | 5 +- .../autogen/WORC.resources.fastr_tools.html | 5 +- .../_build/html/autogen/WORC.resources.html | 5 +- WORC/doc/_build/html/autogen/WORC.tools.html | 5 +- WORC/doc/_build/html/genindex.html | 12 +- WORC/doc/_build/html/index.html | 137 +++-- WORC/doc/_build/html/objects.inv | Bin 6147 -> 6233 bytes WORC/doc/_build/html/py-modindex.html | 9 +- WORC/doc/_build/html/search.html | 4 +- WORC/doc/_build/html/searchindex.js | 2 +- WORC/doc/_build/html/static/changelog.html | 514 ++++++++++-------- .../doc/_build/html/static/configuration.html | 8 +- .../_build/html/static/file_description.html | 4 +- WORC/doc/_build/html/static/introduction.html | 4 +- WORC/doc/_build/html/static/quick_start.html | 4 +- WORC/doc/_build/html/static/user_manual.html | 6 +- WORC/doc/autogen/WORC.export.rst | 12 + WORC/doc/autogen/WORC.rst | 1 + .../WORC.config_HyperOptimization_defopts.rst | 2 +- WORC/doc/index.rst | 35 +- WORC/facade/helpers/configbuilder.py | 2 +- WORC/index.rst | 35 +- 92 files changed, 601 insertions(+), 566 deletions(-) create mode 100644 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zu@Knj+6vjpV`AvX4}()YN=!GPJcqX9i~#bX81i3+tS`W(K@pi$*tx^aV(oDbSJu zUkC9LY6(SbE^QQe2~jSJ8n%;2f@RlUI9SJm(BjX-fadHFu^+x60rAmEdkKopAg2Rc zM9Xs$Qiic#6RhVjlS9LiP)}Rup`t(OMTFGP@^&r7#(*T{OHkAbvkE85~_Rj!fnW0^ju-{~dj^E=R4|j!Q|Mo;U!+fBdTldPM|2ONx~B zh5piSTS=Io!d0uiLUgW4No{>J9FO4)+Cxx!UOu^^BI84n)E>1DXhLz-lG+bp`Wrny zMS_LipH_phj(2B1MMVf}7YCNkgl*7zV8fcUk_YG*pQ>Fb7hot~QUYNom3$CU z)dU__FfCUb%zZd=oZy*-?

  • 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 - + 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 -

    See the WORC documentation for additional info.

    +

    See the WORC documentation for additional info.

    selected_label: integer, default 0

    Determine for which of the labels to be predicted the evaluate workflow should be executed.

    @@ -582,7 +583,7 @@

    Subpackages - + 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
    • +
  • 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

      +
    • 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:

      M. P. A. Starmans. “Multicentre studies for more robust radiomics signatures.” European Congress of Radiology (ECR) 2021: E³ 422 - Radiomics: principles and applications.

      M. P. A. Starmans. “Multicentre studies for more robust radiomics signatures.” European Congress of Radiology (ECR) 2020: E3 420-4 Radiomics: principles and applications.

      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:

      @@ -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

      M. P. A. Starmans, M. J. M. Timbergen, M. Vos, M. Renckens, D. J. Grünhagen, G. J. L. H. van Leenders, R. S. Dwarkasing, F. J. A. Willemssen, W. J. Niessen, C. Verhoef, S. Sleijfer, J. J. Visser, S. Klein. “Differential diagnosis and molecular stratification of gastrointestinal stromal tumors on CT images using a radiomics approach”. arXiv preprint arXiv:2010.06824

      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.

      -
        -

      1. 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.

        2. -
      -
        -
        1. -
          1. -

          1. 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.

            2. -
          -
          2. -
        -
        2. -

      WORC is made possible by contributions from the following people: Martijn P. A. Starmans, Sebastian R. van der Voort, Thomas Phil, and Stefan Klein

    • 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
                                                          • +
                                                        • export Package +
                                                        • facade Package
                                                          • facade Package
                                                          • basicworc Module
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z+8e4=>C`%@GfR4FYz8ki!nImdb*EF`>6M)gjtb~p_8lccaqh&H9;P*6gpI z8hSW_XuhtUyM6LuX!aJ2zEjv-LZ>V;Dgqfqi)yIR#WCJ$oWH51iFf6L5A9-{zEAeE imEk}-FbT_rUO$=aM5uW5p*T - 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
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\ 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