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

Yechan Mun¹, Inyoung Paik¹, Su-Jin Shin², Tae-Yeong Kwak³, Hyeyoon Chang⁴

¹Deep Bio Inc., Seoul, South Korea.

²Department of Pathology, Gangnam Severance Hospital, Yonsei University College of Medicine, Seoul, South Korea.

³Deep Bio Inc., Seoul, South Korea. tykwak@deepbio.co.kr.

⁴Deep Bio Inc., Seoul, South Korea. hychang@deepbio.co.kr.

PubMed PMC DOI PDF

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 extensive region-level manual annotations by experts and/or complex algorithms for the automatic generation of regio…

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