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PingjunChen · Jan 2, 2019 · 685640c · 685640c
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diff --git a/paper/paper.bib b/paper/paper.bib
@@ -35,14 +35,3 @@ @inproceedings{hou2016patch
   pages={2424--2433},
   year={2016}
 }
-
-
-@inproceedings{chen2018automatic,
-  title={Automatic Pathology Diagnosis on Large Slide Image Using Patch Aggregation},
-  author={Chen, Pingjun and Xie, Yuanpu and Hai, Su and Yang, Lin},
-  booktitle={MODERN PATHOLOGY},
-  volume={31},
-  pages={586--586},
-  year={2018},
-  organization={NATURE PUBLISHING GROUP 75 VARICK ST, 9TH FLR, NEW YORK, NY 10013-1917 USA}
-}
diff --git a/paper/paper.md b/paper/paper.md
@@ -21,7 +21,7 @@ bibliography: paper.bib
 ---
 
 # Background
-``tissueloc`` is an open-source Python package for fast and accurate tissue localization on whole slide image (WSI). Automatic pathology diagnosis using WSI gradually becomes a research hotspot in biomedical imaging domain [@cruz2014automatic, @barker2016automated]. Because of the gigabyte size of WSI, instead of directly taking the WSI as input, patch-based strategy is commonly used to deal with WSI [@cruz2014automatic, @hou2016patch, @chen2018automatic]. As there are large amounts of background regions that are useless for diagnosis, researchers working on automatic WSI diagnosis can utilize ``tissueloc`` to locate genuine tissue regions and focus their analysis on these regions.
+``tissueloc`` is an open-source Python package for fast and accurate tissue localization on whole slide image (WSI). Automatic pathology diagnosis using WSI gradually becomes a research hotspot in biomedical imaging domain [@cruz2014automatic, @barker2016automated]. Because of the gigabyte size of WSI, instead of directly taking the WSI as input, patch-based strategy is commonly used to deal with WSI [@cruz2014automatic, @hou2016patch]. As there are large amounts of background regions that are useless for diagnosis, researchers working on automatic WSI diagnosis can utilize ``tissueloc`` to locate genuine tissue regions and focus their analysis on these regions.
 
 
 # Overview

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