A systematic comparison of deep learning strategies for weakly supervised Gleason grading

Prostate cancer (PCa) is one of the most frequent cancers in men. Its grading is required before initiating its treatment. The Gleason Score (GS) aims at describing and measuring the regularity in gland patterns observed by a pathologist on the microscopic or digital images of prostate biopsies and prostatectomies. Deep Learning based (DL) models are the state-of-the-art computer vision techniques for Gleason grading, learning high-level...