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Weakly-supervised tumor purity prediction from frozen H&E stained slides
Author(s) -
Matthew Brendel,
Vanesa Getseva,
Majd Al Assaad,
Michael Sigouros,
Alexandros Sigaras,
Troy Kane,
Pegah Khosravi,
Juan Miguel Mosquera,
Olivier Elemento,
Iman Hajirasouliha
Publication year - 2022
Publication title -
ebiomedicine
Language(s) - Uncategorized
Resource type - Journals
ISSN - 2352-3964
DOI - 10.1016/j.ebiom.2022.104067
Subject(s) - generalizability theory , artificial intelligence , computer science , prostate cancer , medicine , cancer , oncology , machine learning , computational biology , biology , statistics , mathematics

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