most citedMIPHEI-ViT: Multiplex Immunofluorescence Prediction from H&E Images using ViT Foundation Models

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cs.CV2026

LEMON: a foundation model for nuclear morphology in Computational Pathology

Loïc Chadoutaud, Alice Blondel, Hana Feki +3

Computational pathology relies on effective representation learning to support cancer research and precision medicine. Although self-supervised learning has driven major progress a…

cs.CV2026★ 1 cited

MIPHEI-ViT: Multiplex Immunofluorescence Prediction from H&E Images using ViT Foundation Models

Guillaume Balezo, Roger Trullo, Albert Pla Planas +2

Histopathological analysis is a cornerstone of cancer diagnosis, with Hematoxylin and Eosin (H&E) staining routinely acquired for every patient to visualize cell morphology and tis…