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Counterfactual Diffusion Models Provide Interpretable Explanations of Artificial Intelligence Models in Pathology.

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Title: Counterfactual Diffusion Models Provide Interpretable Explanations of Artificial Intelligence Models in Pathology.
Authors: Žigutytė L; TU Dresden Germany., Lenz T; TU Dresden Dresden Germany., Han T; RWTH Aachen University Germany., Reitsam NG; University of Augsburg Augsburg Germany., Foersch S; University Medical Center of the Johannes Gutenberg University Mainz Mainz Germany., Hewitt KJ; TU Dresden Dresden Germany., Jesinghaus M; Philipps University of Marburg Marburg Germany., Carrero ZI; TU Dresden Dresden Germany., Unger M; TU Dresden Germany., Meneghetti AR; TU Dresden Dresden Germany., Lurje G; Charité - Universitätsmedizin Berlin Germany., Lurje I; Charité - Universitätsmedizin Berlin Germany., Herda S; Charité - Universitätsmedizin Berlin Germany., Pein J; Charité - Universitätsmedizin Berlin Berlin Germany., Uluk D; Medical University of Vienna Germany., Schneider CV; RWTH Aachen University Aachen Germany., Pearson AT; University of Chicago Chicago, IL United States., Truhn D; RWTH Aachen University Germany., Kather JN; TU Dresden Dresden Germany.
Source: Cancer research [Cancer Res] 2026 Jun 17. Date of Electronic Publication: 2026 Jun 17.
Publication Type: Journal Article
Journal Info: Publisher: American Association for Cancer Research Country of Publication: United States NLM ID: 2984705R Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1538-7445 (Electronic) Linking ISSN: 00085472 NLM ISO Abbreviation: Cancer Res Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:1538-7445
DOI:10.1158/0008-5472.CAN-25-5645