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Integrated CNN and Transformer Dual-Branch Network for Pain Expression Recognition
Graphic and Image Processing | 更新时间：2025-07-29

    • Integrated CNN and Transformer Dual-Branch Network for Pain Expression Recognition

    • “In the medical field, experts have proposed a ResSwinNet network that integrates CNN and Transformer for automatic pain assessment, with an accuracy rate of up to 94.63%, providing a new solution for clinical applications.”
    • Software Guide   Vol. 24, Issue 7, Pages: 161-168(2025)

    • DOI：10.11907/rjdk.241504    

      CLC： TP391.4

    • Received：05 June 2024，

      Published：15 July 2025

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  • CHEN Zixin,GU Xingyi,WU Jinyan,et al.Integrated CNN and Transformer Dual-Branch Network for Pain Expression Recognition[J].Software Guide,2025,24(07):161-168. DOI： 10.11907/rjdk.241504.

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