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Article

A segmentation-based hierarchical feature interaction attention model for gene mutation status identification in colorectal cancer.

Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society - 1 Oct 2025

Miao Yu, Song Sijie, Zhao Lin, Zhao Jun, Wang Yingsen, Gong Ran, Qiang Yan, Zhang Hua, Zhao Juanjuan

Abstract excerpt

Precise identification of Kirsten Rat Sarcoma (KRAS) gene mutation status is critical for both qualitative analysis of colorectal cancer and formulation of personalized therapeutic regimens. In this paper, we propose a Segmentation-based Hierarchical feature Interaction Attention Model (SHIAM) that synergizes multi-task learning with hierarchical feature integration, aiming to achieve accurate prediction of the...

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Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

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PMID: 40974740
DOI: 10.1016/j.compmedimag.2025.102646

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KRAS

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