Author

Zhi Huang

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Preprint Aug 2026

ProBAG: Prototype-Guided Boundary-Aware Graph Diffusion for Weakly Supervised Histopathology Segmentation

Weakly supervised semantic segmentation enables histopathology tissue segmentation from image-level annotations, avoiding costly pixel-level labeling by expert pathologists. However, CAM-based methods often localize only highly discriminative regions and remain unreliable near tissue interfaces. We propose ProBAG, a st...

Duy Nguyen, Van Le Thai, H. Pham et al. · 0 citations

Review Open access Aug 2026

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

CytoFormer turns paired H&E and spatial transcriptomics into a reusable, label-efficient representation for cell-level analysis of routine histology, and in an interactive active-learning setting, CytoFormer's embeddings are markedly more label-efficient than existing pathology foundation models.

Jialu Yao, Songhao Li, Alina Yu. et al. · Precision Pathology · 0 citations

Preprint Aug 2026

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

Confidence-Guided Diffusion Refinement (CoDiR), a semi-supervised framework that combines a Mean Teacher segmentation model with diffusion-based pseudo-label refinement, matching or exceeding the strongest published method on seven of the eight benchmark metrics.

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