Article

A Generalised Vision Transformer-Based Self-Supervised Model for Diagnosing and Grading Prostate Cancer Using Histological Images

2024-12-05

Abstract excerpt

BACKGROUND: 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 whole slide images (WSIs)...

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Literature Corpus work: 9d8bc62f-0aec-5120-9bc2-05ef01fcaf8f
DOI: 10.32388/okno04

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