UNROLLED PROJECTED GRADIENT ALGORITHM FOR STAIN SEPARATION IN DIGITAL HISTOPATHOLOGICAL IMAGES - Archive ouverte HAL Access content directly
Preprints, Working Papers, ... Year : 2024

UNROLLED PROJECTED GRADIENT ALGORITHM FOR STAIN SEPARATION IN DIGITAL HISTOPATHOLOGICAL IMAGES

Abstract

This paper introduces a novel optimization approach for stain separation in digital histopathological images. Our stain separation cost function incorporates a smooth total variation regularization and is minimized by using a projected gradient algorithm. To enhance computational efficiency and enable supervised learning of the hyperparameters, we further unroll our algorithm into a neural network. The unrolled architecture is not only more efficient for solving the stain separation problem, but also allows to design a highly interpretable and flexible method. Experimental results demonstrate the effectiveness of the proposed unrolled projected gradient algorithm in achieving accurate and visually consistent stain separation.
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Sunday, June 30, 2024
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Sunday, June 30, 2024
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Dates and versions

hal-04444439 , version 1 (07-02-2024)

Identifiers

  • HAL Id : hal-04444439 , version 1

Cite

Aymen Sadraoui, Astrid Laurent-Bellue, Mounir Kaaniche, Amel Benazza-Benyahia, Catherine Guettier, et al.. UNROLLED PROJECTED GRADIENT ALGORITHM FOR STAIN SEPARATION IN DIGITAL HISTOPATHOLOGICAL IMAGES. 2024. ⟨hal-04444439⟩
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