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Joint segmentation of optic cup and disc based on high resolution network
更新时间：2025-05-26

    • Joint segmentation of optic cup and disc based on high resolution network

    • “In the field of glaucoma diagnosis, the MS-HRNET deep learning architecture effectively improves the accuracy of cup disc ratio measurement by jointly segmenting the optic cup and disc, providing a new solution for glaucoma diagnosis.”
    • Journal of Jilin University(Engineering and Technology Edition)   Vol. 53, Issue 8, Pages: 2350-2357(2023)
    • 作者机构：

      1.吉林大学 计算机科学与技术学院，长春 130012

      2.吉林大学 符号计算与知识工程教育部重点实验室，长春 130012

    • DOI：10.13229/j.cnki.jdxbgxb.20211082    

      CLC： TP391.4

    • Received：22 October 2021，

      Published：01 August 2023

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  • GUO Xiao-xin,LI Jia-hui,ZHANG Bao-liang.Joint segmentation of optic cup and disc based on high resolution network[J].Journal of Jilin University(Engineering and Technology Edition),2023,53(08):2350-2357. DOI： 10.13229/j.cnki.jdxbgxb.20211082.

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