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H&E-stained Whole Slide Deep Learning Predicts SPOP Mutation State in Prostate Cancer
Andrew J. Schaumberg, Mark A. Rubin, Thomas J. Fuchs
doi: https://doi.org/10.1101/064279
Andrew J. Schaumberg
aMemorial Sloan Kettering Cancer Center and the Tri-Institutional Training Program in Computational Biology and Medicine
bWeill Cornell Graduate School of Medical Sciences
Mark A. Rubin
cCaryl and Israel Englander Institute for Precision Medicine, New York Presbyterian Hospital–Weill Cornell Medicine
dSandra and Edward Meyer Cancer Center at Weill Cornell Medicine
eDepartment of Pathology and Laboratory Medicine, Weill Cornell Medicine
Thomas J. Fuchs
fDepartment of Medical Physics, Memorial Sloan Kettering Cancer Center
gDepartment of Pathology, Memorial Sloan Kettering Cancer Center
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Posted July 21, 2016.
H&E-stained Whole Slide Deep Learning Predicts SPOP Mutation State in Prostate Cancer
Andrew J. Schaumberg, Mark A. Rubin, Thomas J. Fuchs
bioRxiv 064279; doi: https://doi.org/10.1101/064279
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