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Deep Learning-Based Grading of Ductal Carcinoma In Situ in Breast Histopathology Images


Oct 07, 2020
Suzanne C. Wetstein, Nikolas Stathonikos, Josien P. W. Pluim, Yujing J. Heng, Natalie D. ter Hoeve, Celien P. H. Vreuls, Paul J. van Diest, Mitko Veta

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


Jul 22, 2018
Mitko Veta, Yujing J. Heng, Nikolas Stathonikos, Babak Ehteshami Bejnordi, Francisco Beca, Thomas Wollmann, Karl Rohr, Manan A. Shah, Dayong Wang, Mikael Rousson, Martin Hedlund, David Tellez, Francesco Ciompi, Erwan Zerhouni, David Lanyi, Matheus Viana, Vassili Kovalev, Vitali Liauchuk, Hady Ahmady Phoulady, Talha Qaiser, Simon Graham, Nasir Rajpoot, Erik Sjöblom, Jesper Molin, Kyunghyun Paeng, Sangheum Hwang, Sunggyun Park, Zhipeng Jia, Eric I-Chao Chang, Yan Xu, Andrew H. Beck, Paul J. van Diest, Josien P. W. Pluim

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* Overview paper of the TUPAC16 challenge: http://tupac.tue-image.nl/ 

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Cutting out the middleman: measuring nuclear area in histopathology slides without segmentation


Jun 20, 2016
Mitko Veta, Paul J. van Diest, Josien P. W. Pluim

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* Conditionally accepted for MICCAI 2016 

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Assessment of algorithms for mitosis detection in breast cancer histopathology images


Nov 21, 2014
Mitko Veta, Paul J. van Diest, Stefan M. Willems, Haibo Wang, Anant Madabhushi, Angel Cruz-Roa, Fabio Gonzalez, Anders B. L. Larsen, Jacob S. Vestergaard, Anders B. Dahl, Dan C. Cireşan, Jürgen Schmidhuber, Alessandro Giusti, Luca M. Gambardella, F. Boray Tek, Thomas Walter, Ching-Wei Wang, Satoshi Kondo, Bogdan J. Matuszewski, Frederic Precioso, Violet Snell, Josef Kittler, Teofilo E. de Campos, Adnan M. Khan, Nasir M. Rajpoot, Evdokia Arkoumani, Miangela M. Lacle, Max A. Viergever, Josien P. W. Pluim

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* 23 pages, 5 figures, accepted for publication in the journal Medical Image Analysis 

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