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Chest X-ray images classification based on multi-scale attention information multiplexing network
更新时间：2026-02-03

    • Chest X-ray images classification based on multi-scale attention information multiplexing network

    • “To address the issue of low recognition of lesion areas in chest X-ray images, experts propose a multi-scale attention information multiplexing network. Through the use of multiple spatial information multiplexing modules, multi-scale fusion attention modules, and asymmetric shift focus loss functions, the classification accuracy of chest X-ray images is effectively improved, providing a new method for the diagnosis of chest diseases.”
    • Journal of Jilin University(Engineering and Technology Edition)   Vol. 55, Issue 11, Pages: 3686-3696(2025)
    • 作者机构：

      天津大学 微电子学院，天津 300072

    • DOI：10.13229/j.cnki.jdxbgxb.20240222    

      CLC： TP391

    • Received：05 March 2024，

      Published：01 November 2025

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  • ZHANG Rui-feng,GUO Fang-zhao,LI Qiang.Chest X-ray images classification based on multi-scale attention information multiplexing network[J].Journal of Jilin University(Engineering and Technology Edition),2025,55(11):3686-3696. DOI： 10.13229/j.cnki.jdxbgxb.20240222.

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