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    • Detail-enhanced medical image segmentation focusing on global and intermediate features

    • In the field of medical image segmentation, researchers have proposed the DEMS-GIF network model, which significantly improves segmentation accuracy through Transformer bridging feature fusion and reverse attention scaling region enhancement upsampling strategy.
    • Vol. 30, Issue 10, Pages: 3392-3410(2025)   

      Received:19 August 2024

      Revised:2025-01-21

      Published:16 October 2025

    • DOI: 10.11834/jig.240463     

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  • Liu Wei, Zhong Miao, Liu Guangwei, Wang Haonan, Ning Qian. 2025. Detail-enhanced medical image segmentation focusing on global and intermediate features. Journal of Image and Graphics, 30(10):3392-3410 DOI: 10.11834/jig.240463.
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相关作者

Huang Guanhui 上海工程技术大学电子电气工程学院
Liu Xiang 上海工程技术大学电子电气工程学院
Shi Yunyu 上海工程技术大学电子电气工程学院
Ji Yu 上海工程技术大学电子电气工程学院
Wang Shuohong 哈佛大学分子与细胞生物学系,美国 MA
杨海波 浙江大学信息与电子工程学系
姚庆栋 浙江大学信息与电子工程学系
荆仁杰 浙江大学信息与电子工程学系

相关机构

School of Electronic and Electrical Engineering, Shanghai University of Engineering and Technology
Harvard University Department of Molecular and Cellular Biology
浙江大学信息与电子工程学系
The College of Information, East China University of Science and Technology
Department of Automation, University of Science and Technology of China
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