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    • MoLiNet: a local and global information interactive fusion network for improving multi-classification of pathological image artifacts

    • In the field of pathological image artifact classification, researchers have proposed the MoLiNet network, which effectively distinguishes similar artifacts and reduces computational resource consumption.
    • Vol. 30, Issue 11, Pages: 3680-3693(2025)   

      Received:21 November 2024

      Revised:2025-03-14

      Accepted:24 March 2025

      Published:16 November 2025

    • DOI: 10.11834/jig.240691     

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  • Ding W L, Deng R R, Xu L F, Wang C N, Zhu X Q and Zheng K. 2025. MoLiNet: a local and global information interactive fusion network for improving multi-classification of pathological image artifacts. Journal of Image and Graphics, 30(11):3680-3693 DOI: 10.11834/jig.240691.
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相关作者

Song Xiaogang 西安理工大学计算机科学与工程学院;人机共融智能机器人陕西省高校工程研究中心
Tan Yuping 西安理工大学计算机科学与工程学院
Guo Fuqiang 西安理工大学计算机科学与工程学院
Lu Xiaofeng 西安理工大学计算机科学与工程学院;人机共融智能机器人陕西省高校工程研究中心
Hei Xinhong 西安理工大学计算机科学与工程学院;人机共融智能机器人陕西省高校工程研究中心
Wang Teng 淮阴工学院计算机与软件工程学院;江苏省可信固件与智能软件重点实验室
Gao Shangbing 淮阴工学院计算机与软件工程学院;江苏省可信固件与智能软件重点实验室
Ren Gang 东南大学交通学院

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