Article

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

2024-11-19

Abstract excerpt

1 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 from resected tumour slide...

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Literature Corpus work: dee4d90f-8125-50e5-8e1b-5d3fcfea2f88
DOI: 10.1101/2024.11.18.624103

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