Pathology Foundation Models are Scanner Sensitive: Benchmark and Mitigation with Contrastive ScanGen Loss

Fuente: arXiv

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Bibliographic Details
Main Authors:	Carloni, Gianluca, Brattoli, Biagio, Keum, Seongho, Park, Jongchan, Lee, Taebum, Ahn, Chang Ho, Pereira, Sergio
Format:	Preprint
Published:	2025
Subjects:	Quantitative Methods Artificial Intelligence Computer Vision and Pattern Recognition Image and Video Processing Tissues and Organs I.2; I.2.6; I.4; I.4.7; I.5; J.3; J.6
Online Access:	Acceder al recurso
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Internet

https://arxiv.org/abs/2507.22092