Communication Dans Un Congrès Année : 2026

A Proximal Approach for Stain Separation and Normalization of Whole-Slide Histopathological Images

Résumé

Stain variability in histopathological images presents a major obstacle to developing accurate and reliable computer-aided diagnosis systems. In this paper, we introduce a novel stain normalization framework based on a stain separation proximal algorithm. Specifically, we first propose a new stain separation method that extracts individual stain components from a given stained image. Subsequently, we perform stain normalization by aligning the separated source stains with those of a target reference image. Experimental results demonstrate that the proposed approach effectively reduces inter-image color variations while preserving the essential structural details of the tissue.

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hal-05511612 , version 1 (15-02-2026)

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  • HAL Id : hal-05511612 , version 1

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Aymen Sadraoui, Astrid Laurent-Bellue, Mounir Kaaniche, Amel Benazza-Benyahia, Catherine Guettier, et al.. A Proximal Approach for Stain Separation and Normalization of Whole-Slide Histopathological Images. ISBI 2026 - IEEE International Symposium on Biomedical Imaging, Apr 2026, London, United Kingdom. ⟨hal-05511612⟩
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