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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

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
陆宗骐 华东理工大学信息学院
朱 煜 华东理工大学信息学院
DIAO Zhihua 中国科学技术大学自动化系
ZHAO Chunjiang 国家农业信息化工程技术研究中心
WU Gang 中国科学技术大学自动化系

相关机构

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
National Engineering Research Center for Information Technology in Agriculture
南京航空航天大学自动化学院
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