Learning to predict prostate cancer recurrence from tissue images

Roughly 30% of men with prostate cancer who undergo radical prostatectomy will suffer biochemical cancer recurrence (BCR). Accurately predicting which patients will experience BCR could identify who would benefit from increased surveillance or adjuvant therapy. Unfortunately, no current method can e...

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Bibliographic Details

Published in:	Journal of Pathology Informatics
Main Authors:	Mahtab Farrokh, Neeraj Kumar, Peter H. Gann, Russell Greiner
Format:	Article
Language:	English
Published:	Elsevier 2024-12-01
Subjects:	Machine learning Computer vision Contrastive learning Prostate cancer Histopathology
Online Access:	http://www.sciencedirect.com/science/article/pii/S215335392300158X