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Self-Supervised AI Discovery of Histomorphological Phenotypes from Routine Mesothelioma Biopsies

2026-08-11

Abstract excerpt

1 Accurate subtype diagnosis is essential for guiding therapy and predicting patient outcome in malignant mesothelioma. Most computational pathology models are trained on large tissue images from resection specimens, which maximises information for training but limits model relevance in real-world diagnostic settings where small biopsies are the most usual tissue source. In this work, we assembled a large multicen...

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Literature Corpus work
38d7004d-0368-5047-88a4-65b32ababdbf
DOI
10.64898/2026.08.09.743741
Open publication

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Self-Supervised AI Discovery of Histomorphological Phenotypes from Routine Mesothelioma BiopsiesDOI 10.64898/2026.08.09.743741
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