Thin vessel segmentation in fundus images using attention UNet and modified Frangi filtering-Reference-Cited by-同舟云学术

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Thin vessel segmentation in fundus images using attention UNet and modified Frangi filtering

Published:2025-01 Issue: Volume:99 Page:106842
ISSN:1746-8094
Container-title:Biomedical Signal Processing and Control
language:en
Short-container-title:Biomedical Signal Processing and Control

Author:

Varma Anumeha^ORCID,Agrawal Monika

Publisher

Elsevier BV

Reference30 articles.

1. Rvseg-net: An efficient feature pyramid cascade network for retinal vessel segmentation;Wang,2020

2. An automatic retinal vessel segmentation approach based on convolutional neural networks;Chala;Expert Syst. Appl.,2021

3. NFN+: A novel network followed network for retinal vessel segmentation;Wu;Neural Netw.,2020

4. Scs-net: A scale and context sensitive network for retinal vessel segmentation;Wu;Med. Image Anal.,2021

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

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