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Domain generalisation challenges in breast cancer molecular classification using foundation models: a cross-cohort exploratory study.

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Bibliographic Details
Title: Domain generalisation challenges in breast cancer molecular classification using foundation models: a cross-cohort exploratory study.
Authors: Fernandez-Romero J; Department of Computer Languages and Systems, ETSII, University of Seville, Av. Reina Mercedes s/n, 41012, Seville, Andalusia, Spain., Ramos-Berciano P; Department of Computer Languages and Systems, ETSII, University of Seville, Av. Reina Mercedes s/n, 41012, Seville, Andalusia, Spain., Perez-Perez M; Department of Normal and Pathological Cytology and Histology, Faculty of Medicine, University of Seville, Av. Doctor Fadriani s/n, 41009, Seville, Andalusia, Spain., Benavides D; Department of Computer Languages and Systems, ETSII, University of Seville, Av. Reina Mercedes s/n, 41012, Seville, Andalusia, Spain., Robles-Frias A; UGC Pathology, Hospital Universitario Virgen de Valme, Ctra. de Cádiz Km. 548, 41004, Seville, Andalusia, Spain., Garcia-Gutierrez J; Department of Computer Languages and Systems, ETSII, University of Seville, Av. Reina Mercedes s/n, 41012, Seville, Andalusia, Spain. jorgarcia@us.es., Macias-Garcia L; Department of Normal and Pathological Cytology and Histology, Faculty of Medicine, University of Seville, Av. Doctor Fadriani s/n, 41009, Seville, Andalusia, Spain.
Source: Medical & biological engineering & computing [Med Biol Eng Comput] 2026 Jun; Vol. 64 (6), pp. 2321-2331. Date of Electronic Publication: 2026 May 11.
Publication Type: Journal Article
Journal Info: Publisher: Springer Country of Publication: United States NLM ID: 7704869 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1741-0444 (Electronic) Linking ISSN: 01400118 NLM ISO Abbreviation: Med Biol Eng Comput Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:1741-0444
DOI:10.1007/s11517-026-03590-4