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Peer-Reviewed Publication
Med Image Anal2019;54111-121.May 1, 2019Journal Article

Predicting breast tumor proliferation from whole-slide images: The TUPAC16 challenge.

Mitko Veta1, Yujing J Heng2, Nikolas Stathonikos3, Babak Ehteshami Bejnordi4, Francisco Beca5, Thomas Wollmann6, Karl Rohr6, Manan A Shah7, Dayong Wang2, Mikael Rousson8, Martin Hedlund8, David Tellez5, Francesco Ciompi5, Erwan Zerhouni9, David Lanyi9, Matheus Viana10, Vassili Kovalev11, Vitali Liauchuk11, Hady Ahmady Phoulady12, Talha Qaiser13, Simon Graham13, Nasir Rajpoot13, Erik Sjöblom14, Jesper Molin14, Kyunghyun Paeng15, Sangheum Hwang15, Sunggyun Park15, Zhipeng Jia16, Eric I-Chao Chang17, Yan Xu18, Andrew H Beck2, Paul J van Diest3, Josien P W Pluim19
1Medical Image Analysis Group, Eindhoven University of Technology, Eindhoven, the Netherlands. Electronic address: m.veta@tue.nl.
2Department of Pathology, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, USA.
3Department of Pathology, University Medical Center Utrecht, Utrecht, the Netherlands.
4Diagnostic Image Analysis Group, Radboud University Medical Center, Nijmegen, the Netherlands.
5Department of Pathology, Stanford University School of Medicine, USA.
6Biomedical Computer Vision Group, University of Heidelberg, BIOQUANT, IPMB and DKFZ, Heidelberg, Germany.
7The Harker School, San Jose, USA.
8ContextVision AB, Linköping, Sweden.
9Foundations of Cognitive Computing, IBM Research Zürich, Rüschlikon, Switzerland.
10Visual Analytics and Insights, IBM Research Brazil, São Paulo, Brazil.
11Biomedical Image Analysis Department, United Institute of Informatics, Minsk, Belarus.
12Department of Computer Science and Engineering, University of South Florida, Tampa, FL, USA.
13Department of Computer Science, University of Warwick, Warwick, UK.
14Research, Sectra, Linköping, Sweden.
15Lunit Inc., Seoul, South Korea.
16Institute for Interdisciplinary Information Sciences, Tsinghua University, Beijing, China.
17Microsoft Research, Beijing, China.
18Microsoft Research, Beijing, China; Biology and Medicine Engineering, Beihang University, Beijing, China.
19Medical Image Analysis Group, Eindhoven University of Technology, Eindhoven, the Netherlands.
PubMed DOI

Abstract

Tumor proliferation is an important biomarker indicative of the prognosis of breast cancer patients. Assessment of tumor proliferation in a clinical setting is a highly subjective and labor-intensive task. Previous efforts to automate tumor proliferation assessment by image analysis only focused on mitosis detection in predefined tumor regions. However, in a real-world scenario, automatic mitosis…

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