Partial class activation mapping guided graph convolution cascaded U-Net for retinal vessel segmentation-Reference-Cited by-同舟云学术

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Partial class activation mapping guided graph convolution cascaded U-Net for retinal vessel segmentation

Published:2024-08 Issue: Volume:178 Page:108736
ISSN:0010-4825
Container-title:Computers in Biology and Medicine
language:en
Short-container-title:Computers in Biology and Medicine

Author:

Wang Zeyu^ORCID,Jia L.V.^ORCID,Liang Haocheng^ORCID

Publisher

Elsevier BV

Reference47 articles.

1. SPNet: a novel deep neural network for retinal vessel segmentation based on shared decoder and pyramid-like loss;Xu;Neurocomputing,2023

2. Learning feature-rich integrated comprehensive context networks for automated fundus retinal vessel analysis;Yang;Neurocomputing,2022

3. CSU-Net: a context spatial U-Net for accurate blood vessel segmentation in fundus images;Wang;IEEE J. Biomed. Health Inform.,2020

4. Hard attention net for automatic retinal vessel segmentation;Wang;IEEE J. Biomed. Health Inform.,2020

5. Ce-net: context encoder network for 2d medical image segmentation;Gu;IEEE Trans. Med. Imag.,2019

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