Yet Another Automated Gleason Grading System (YAAGGS) by weakly supervised deep learning

Abstract The Gleason score contributes significantly in predicting prostate cancer outcomes and selecting the appropriate treatment option, which is affected by well-known inter-observer variations. We present a novel deep learning-based automated Gleason grading system that does not require extensi...

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Auteurs principaux: Yechan Mun, Inyoung Paik, Su-Jin Shin, Tae-Yeong Kwak, Hyeyoon Chang
Format: article
Langue:EN
Publié: Nature Portfolio 2021
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Accès en ligne:https://doaj.org/article/08a6d46ceef34a1fb3100d3ff605886b
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