Bridging Domain Gaps in Computational Pathology: A Comparative Study of Adaptation Strategies

Due to the high variability in Hematoxylin and Eosin (H&E)-stained Whole Slide Images (WSIs), hidden stratification, and batch effects, generalizing beyond the training distribution is one of the main challenges in Deep Learning (DL) for Computational Pathology (CPath). But although DL depends on la...

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Auteurs principaux:	João D. Nunes, Diana Montezuma, Domingos Oliveira, Tania Pereira, Inti Zlobec, Isabel Macedo Pinto, Jaime S. Cardoso
Format:	Artigo
Langue:	Inglês
Publié:	MDPI AG 2025-04-01
Collection:	Sensors
Sujets:	domain adaptation weakly supervised learning consistency regularization multiple instance learning computational pathology
Accès en ligne:	https://www.mdpi.com/1424-8220/25/9/2856
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