Development and validation of a deep learning-based microsatellite instability predictor from prostate cancer whole-slide images by Qiyuan Hu, Abbas A. Rizvi, Geoffery Schau, Kshitij Ingale, Yoni Muller, Rachel Baits, Sebastian Pretzer, Aïcha BenTaieb, Abigail Gordhamer, Roberto Nussenzveig, Adam Cole, Matthew O. Leavitt, Ryan D. Jones, Rohan P. Joshi, Nike Beaubier, Martin C. Stumpe, Kunal Nagpal

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Assessing the utility of molecular diagnostic classification for cancers of unknown primary by Elle C. Moore, Gerard C. Blobe, Nicholas C. DeVito, Brent A. Hanks, Michael R. Harrison, Christopher J. Hoimes, Jingquan Jia, Michael A. Morse, Parvathy Jayaprakasan, Andrew MacKelfresh, Hillary Mulder, Adam J. Hockenberry, Alia Zander, Martin C. Stumpe, Jackson Michuda, Kyle A. Beauchamp, Eric Perakslis, Timothy Taxter, Daniel J. George

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Interpretable survival prediction for colorectal cancer using deep learning by Ellery Wulczyn, David F. Steiner, Melissa Moran, Markus Plass, Robert Reihs, Fraser Tan, Isabelle Flament-Auvigne, Trissia Brown, Peter Regitnig, Po-Hsuan Cameron Chen, Narayan Hegde, Apaar Sadhwani, Robert MacDonald, Benny Ayalew, Greg S. Corrado, Lily H. Peng, Daniel Tse, Heimo Müller, Zhaoyang Xu, Yun Liu, Martin C. Stumpe, Kurt Zatloukal, Craig H. Mermel

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