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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Bibliographic Details
Main Authors: Yechan Mun, Inyoung Paik, Su-Jin Shin, Tae-Yeong Kwak, Hyeyoon Chang
Format: article
Language:EN
Published: Nature Portfolio 2021
Subjects:
Online Access:https://doaj.org/article/08a6d46ceef34a1fb3100d3ff605886b
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