A clinical benchmark of public self-supervised pathology foundation models

Abstract The use of self-supervised learning to train pathology foundation models has increased substantially in the past few years. Notably, several models trained on large quantities of clinical data have been made publicly available in recent months. This will significantly enhance scientific res...

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Bibliographic Details

Published in:	Nature Communications
Main Authors:	Gabriele Campanella, Shengjia Chen, Manbir Singh, Ruchika Verma, Silke Muehlstedt, Jennifer Zeng, Aryeh Stock, Matt Croken, Brandon Veremis, Abdulkadir Elmas, Ivan Shujski, Noora Neittaanmäki, Kuan-lin Huang, Ricky Kwan, Jane Houldsworth, Adam J. Schoenfeld, Chad Vanderbilt
Format:	Article
Language:	English
Published:	Nature Portfolio 2025-04-01
Online Access:	https://doi.org/10.1038/s41467-025-58796-1