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Attention-inception-based U-Net for retinal vessel segmentation with advanced residual

  • Published:2022-03 Issue: Volume:98 Page:107670
  • ISSN:0045-7906
  • Container-title:Computers & Electrical Engineering
  • language:en
  • Short-container-title:Computers & Electrical Engineering

Author:

Wang Huadeng,Xu Guang,Pan Xipeng,Liu Zhenbing,Tang Ningning,Lan Rushi,Luo Xiaonan

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,General Computer Science,Control and Systems Engineering

Cited by 27 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. A shape-supervised feature fusion U-Net for tubular structure segmentation;Computers and Electrical Engineering;2024-10

2. MRAU-net: Multi-scale residual attention U-shaped network for medical image segmentation;Computers and Electrical Engineering;2024-09

3. Optimal U-Net Using Grey Wolf Algorithm for Retinal Vessel Segmentation;2024 4th International Conference on Innovative Research in Applied Science, Engineering and Technology (IRASET);2024-05-16

4. Cross-patch feature interactive net with edge refinement for retinal vessel segmentation;Computers in Biology and Medicine;2024-05

5. A hybrid evolutionary weighted ensemble of deep transfer learning models for retinal vessel segmentation and diabetic retinopathy detection;Computers and Electrical Engineering;2024-04
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