Automated Gleason Scoring and Tumor Quantification in Prostate Core Needle Biopsy Images Using Deep Neural Networks and Its Comparison with Pathologist-Based Assessment

The Gleason grading system, currently the most powerful prognostic predictor of prostate cancer, is based solely on the tumor’s histological architecture and has high inter-observer variability. We propose an automated Gleason scoring system based on deep neural networks for diagnosis of prostate co...

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Bibliographic Details
Published in:Cancers (Basel)
Main Authors: Ryu, Han Suk, Jin, Min-Sun, Park, Jeong Hwan, Lee, Sanghun, Cho, Joonyoung, Oh, Sangjun, Kwak, Tae-Yeong, Woo, Junwoo Isaac, Mun, Yechan, Kim, Sun Woo, Hwang, Soohyun, Shin, Su-Jin, Chang, Hyeyoon
Format: Artigo
Language:Inglês
Published: MDPI 2019
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Online Access:https://ncbi.nlm.nih.gov/pmc/articles/PMC6966453/
https://ncbi.nlm.nih.gov/pubmed/31769420
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/cancers11121860
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