PathologyNature CommunicationsPeer-reviewed
A histomorphological atlas of resected mesothelioma discovered by self-supervised learning from 3446 whole-slide images
Farzaneh Seyedshahi, Kai Rakovic, Nicolas Poulain…·John P. C. Le Quesne
This paper uses self-supervised learning on 3446 H&E-stained mesothelioma slides to create a histomorphological atlas, achieving high predictive performance and revealing molecular insights.