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    • Classification algorithm for anterior cruciate ligament injury embedded with slice sequence association mode

    • In the field of diagnosing anterior cruciate ligament injuries, experts have proposed the SSAMNet model, which effectively improves diagnostic accuracy and specificity and has clinical application value.
    • Vol. 30, Issue 4, Pages: 1183-1194(2025)   

      Received:06 June 2024

      Revised:08 October 2024

      Published:16 April 2025

    • DOI: 10.11834/jig.240302     

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  • Liu Yingli, Cha Yinqiu, Huang Yishan, Gao Ming. 2025. Classification algorithm for anterior cruciate ligament injury embedded with slice sequence association mode. Journal of Image and Graphics, 30(04):1183-1194 DOI: 10.11834/jig.240302.
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相关作者

Gao Ming 云南省第一人民医院骨科
Jiang Tianzi 中国科学院自动化研究所
Cheng Luqi 中国科学院自动化研究所
Luo Na 中国科学院自动化研究所
Zhang Yu 中国科学院自动化研究所
Song Ming 中国科学院自动化研究所
Fan Lingzhong 中国科学院自动化研究所
Li Wen 中国科学院自动化研究所

相关机构

Orthopaedics Department, The First People's Hospital of Yunnan Province
Institute of Automation, Chinese Academy of Sciences
School of Electronic, Electrical Engineering and Physics, Fujian University of Technology
College of Computer and Information Sciences, Fujian Agriculture and Forestry University
School of Biomedical Engineering, ShanghaiTech University
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