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Scaling Vision Foundation Models for Toxicologic Pathology
Jessica Loo, Theodoros Pissas, Byunghak Kang, Vincent A. Ella, Xiaoyan Zhang, Kevin Sweeney, Walter Georgescu, Prateek Katiyar, Julie Boisclair, Holger Hoefling

Scaling Vision Foundation Models for Toxicologic Pathology

Science & Mathematics Published 2026 Verification Pending

Overview & Synopsis

Here, we present TOX-FM, a family of non-clinical PFMs trained on large-scale diverse histopathology datasets of over one million whole slide images consisting of over 60 organs across six animal species from over 14,000 toxicology studies across six decades. We introduce a comprehensive benchmark of 18 non-clinical downstream tasks, incorporate an established benchmark of 9 clinical downstream tasks, and evaluate TOX-FM against state-of-the-art clinical PFMs across both non-clinical and clinical domains. Notably, we explore open questions surrounding domain-specific training and cross-domain generalization, offering insights into the opportunities and challenges of applying PFMs in the non-clinical domain.

Indexed from repository: arXiv (arxiv.org)
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Document Information

Document Title Scaling Vision Foundation Models for Toxicologic Pathology
Author / Organization Jessica Loo, Theodoros Pissas, Byunghak Kang, Vincent A. Ella, Xiaoyan Zhang, Kevin Sweeney, Walter Georgescu, Prateek Katiyar, Julie Boisclair, Holger Hoefling
Subject & Discipline cs.CV
Categories Science & Mathematics
Publication Year 2026
License / Rights arXiv Open Access / Creative Commons
Resource Verification Listed PDF (Verification Pending)
Original Host Website arXiv (arxiv.org)
File Format application/pdf (Portable Document Format)
Language EN
Catalog ID DOC-272998
Original Source Link Visit Source Page on arxiv.org »