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The clinical promise of computational pathology increasingly depends on foundation model-based pipelines, yet the morphological concepts encoded by these systems remain poorly understood. We address this gap with a concept-level visualization framework using class visualizations (CVs) and activation atlases (AAs) in a...
In this issue of Cancer Cell, Luo et al. report an ensemble approach that integrates five pretrained pathology foundation models into a slide-level representation to exploit their complementary information, yielding improvements in tumor subtyping, biomarker, and therapy-response prediction. This shows the potential of...
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