GDF-Net: A multi-task symmetrical network for retinal vessel segmentation

被引:33
|
作者
Li, Jianyong [1 ]
Gao, Ge [1 ]
Yang, Lei [2 ]
Liu, Yanhong [2 ]
机构
[1] Zhengzhou Univ Light Ind, Zhengzhou, Henan, Peoples R China
[2] Zhengzhou Univ, Sch Elect & Informat Engn, Zhengzhou, Peoples R China
基金
中国国家自然科学基金;
关键词
Fundus vessels segmentation; Deep learning; Multi-task segmentation network; Attention U-net; CONVOLUTIONAL NEURAL-NETWORK; BLOOD-VESSELS; U-NET; WAVELET; IMAGES;
D O I
10.1016/j.bspc.2022.104426
中图分类号
R318 [生物医学工程];
学科分类号
0831 ;
摘要
Retinal fundus vessels contain rich geometric features, including both thick and thin vessels, which is particularly important for accurate clinical diagnosis of cardiovascular diseases. Nowadays, deep convolution neural networks (DCNNs) have shown remarkable performance on fundus vessel segmentation combined with effective contextual feature expression ability, especially U-Net network and its variants. However, due to multiple convolution and pooling operations, existing methods using DCNNs will cause the information loss of details or micro objects, which impacts the accuracy of thin vascular detection and cause poor final segmentation performance. To address this problem, a multi-task symmetric network, called GDF-Net, is proposed for accurate retinal fundus image segmentation, which is composed by two symmetrical segmentation networks (global segmentation network branch and detail enhancement network branch) and a fusion network branch. To address the information loss issue, two symmetrical segmentation networks are proposed to extract global contextual features and detail features respectively. To strength both advantages of two symmetric segmentation networks, this paper presented a fusion network to perform feature integration to improve the segmentation accuracy for retinal fundus vessels. To better validate the usefulness and excellence of the GDF-Net, experiments demonstrate that the GDF-Net has achieved a competitive performance on retinal vessel segmentation.
引用
收藏
页数:11
相关论文
共 50 条
  • [41] EEA-Net: an edge enhanced attention network for retinal vessel segmentation
    Libin Wang
    Shumei Wang
    Xiang Jiang
    Signal, Image and Video Processing, 2025, 19 (6)
  • [42] Retinal Vessel Segmentation Method Based on Improved U-NET Network
    Chang, Longdan
    Ren, Kan
    Wan, Minjie
    Chen, Qian
    AOPC 2021: NOVEL TECHNOLOGIES AND INSTRUMENTS FOR ASTRONOMICAL MULTI-BAND OBSERVATIONS, 2021, 12069
  • [43] SAF-Net:Self Attention Fusion Network for Retinal Vessel Segmentation
    Liu, Na
    Wang, Guoqiang
    Computer Engineering and Applications, 2023, 59 (14) : 217 - 223
  • [44] RNA-Net: Residual Nonlocal Attention Network for Retinal Vessel Segmentation
    Chen, Yixuan
    Dong, Yuhan
    Zhang, Yi
    Zhang, Kai
    2020 IEEE INTERNATIONAL CONFERENCE ON SYSTEMS, MAN, AND CYBERNETICS (SMC), 2020, : 1560 - 1565
  • [45] EAR-NET: Error Attention Refining Network For Retinal Vessel Segmentation
    Wang, Jun
    Zhao, Yang
    Qian, Linglong
    Yu, Xiaohan
    Gao, Yongsheng
    2021 INTERNATIONAL CONFERENCE ON DIGITAL IMAGE COMPUTING: TECHNIQUES AND APPLICATIONS (DICTA 2021), 2021, : 161 - 167
  • [46] SCS-Net: A Scale and Context Sensitive Network for Retinal Vessel Segmentation
    Wu, Huisi
    Wang, Wei
    Zhong, Jiafu
    Lei, Baiying
    Wen, Zhenkun
    Qin, Jing
    MEDICAL IMAGE ANALYSIS, 2021, 70
  • [47] MRU-NET: A U-Shaped Network for Retinal Vessel Segmentation
    Ding, Hongwei
    Cui, Xiaohui
    Chen, Leiyang
    Zhao, Kun
    APPLIED SCIENCES-BASEL, 2020, 10 (19):
  • [48] MFI-Net: Multiscale Feature Interaction Network for Retinal Vessel Segmentation
    Ye, Yiwen
    Pan, Chengwei
    Wu, Yicheng
    Wang, Shuqi
    Xia, Yong
    IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS, 2022, 26 (09) : 4551 - 4562
  • [49] SFA-Net: Scale and Feature Aggregate Network for Retinal Vessel Segmentation
    Ni, Jiajia
    Liu, Jinhui
    Li, Xuefei
    Chen, Zhengming
    JOURNAL OF HEALTHCARE ENGINEERING, 2022, 2022
  • [50] TS-Net: Texture and Shape Stream Network for Retinal Vessel Segmentation
    Wang, Ying
    Fan, Huijie
    Yang, Dawei
    2021 27TH INTERNATIONAL CONFERENCE ON MECHATRONICS AND MACHINE VISION IN PRACTICE (M2VIP), 2021,