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Discriminatory Gleason grade group signatures of prostate cancer: An application of machine learning methods

9 Jun 2022

Abstract excerpt

One of the most precise methods to detect prostate cancer is by evaluation of a stained biopsy by a pathologist under a microscope. Regions of the tissue are assessed and graded according to the observed histological pattern. However, this is not only laborious, but also relies on the experience of the pathologist and tends to suffer from the lack of reproducibility of biopsy outcomes across pathologists. As a...

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PMID: 35679280
DOI: 10.1371/journal.pone.0267714

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