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    • Boundary cue deep fusion polyp image segmentation network

    • In the field of healthcare, experts have proposed a deep learning model called PBCDF Net, which successfully overcomes the limitations of traditional algorithms when facing uncertainty and morphological diversity of polyp boundaries, demonstrating excellent performance.
    • Vol. 30, Issue 5, Pages: 1479-1496(2025)   

      Received:08 July 2024

      Revised:25 October 2024

      Published:16 May 2025

    • DOI: 10.11834/jig.240383     

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  • Zhang Dongping, Li Zheng, Xie Yaguang, Wang Duyang, Tang Siliang, Bu Yuzhen, Wang Mengting. 2025. Boundary cue deep fusion polyp image segmentation network. Journal of Image and Graphics, 30(5):1479-1496 DOI: 10.11834/jig.240383.
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相关作者

Zhang Dongping 中国计量大学信息工程学院
Li Zheng 中国计量大学信息工程学院
Xie Yaguang 杭州当虹科技股份有限公司
Wang Duyang 汉斯夫(杭州)医学科技有限公司
Tang Siliang 浙江大学计算机科学与技术学院
Bu Yuzhen 中国计量大学信息工程学院
Wang Mengting 中国计量大学信息工程学院
Zhang Quan 中山大学计算机学院

相关机构

School of Computer Science and Engineering,Sun Yat-sen University
Guangzhou Xinhua University
Guangdong Province Key Laboratory of Information Security Technology
Key Laboratory of Video and Image Intelligent Analysis and Application Technology, Ministry of Public Security
School of Computer Science and Engineering,Sun Yat-sen University
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