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A histomorphological atlas of resected mesothelioma discovered by self-supervised learning from 3446 whole-slide images

2025-01-17

Abstract excerpt

<title>Abstract</title> <p>Mesothelioma is a highly lethal and poorly biologically understood disease which presents diagnostic challenges due to its morphological complexity. This study uses self-supervised AI (Artificial Intelligence) to map the histomorphological landscape of the disease. The resulting atlas consists of recurrent patterns identified from 3446 Hematoxylin and Eosin (H&E) stained images scanned...

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Literature Corpus work: d215e523-313f-59b1-a19f-22212abc2713
DOI: 10.21203/rs.3.rs-5678715/v1

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