Article

A generalised vision transformer-based self-supervised model for diagnosing and grading prostate cancer using histological images

2024-11-23

Abstract excerpt

<h4>ABSTRACT</h4> <h4>Background</h4> Gleason grading remains the gold standard for prostate cancer histological classification and prognosis, yet its subjectivity leads to grade variability between pathologists, potentially impacting clinical decision-making. Herein, we trained and validated a generalised AI-driven system for diagnosing prostate cancer using diverse datasets from tissue microarray (TMA) core and...

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Literature Corpus work: bb3d39e1-6ee2-52da-b9f0-6a65b815b7d8
DOI: 10.1101/2024.11.22.24317776

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