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Review Open access Aug 2026

CytoFormer: A Molecularly Supervised Cell Foundation Model for Histopathology Cell Classification

Identifying cell types directly from routine haematoxylin and eosin (H&E) histology would enable single-cell analysis at scale, but training such models has relied on manual pathologist annotations, which are slow, expensive and unreliable for many cell types. We instead supervise morphology with molecules. Imaging-bas...

Jialu Yao, Songhao Li, Alina Yu. et al. · 0 citations
Preprint Aug 2026

CoDiR: Confidence-Guided Diffusion Refinement for Semi-Supervised Histopathology Segmentation

Semi-supervised histopathology segmentation is challenging due to scarce annotations and unreliable pseudo-labels in ambiguous gland regions. To address this problem, we propose Confidence-Guided Diffusion Refinement (CoDiR), a semi-supervised framework that combines a Mean Teacher segmentation model with diffusion-bas...

H. Pham, Dang-Nguyen Bui, Van Le Thai et al. · 0 citations

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