RAGE-Net: Enhanced retinal vessel segmentation U-shaped network using Gabor convolution-Reference-Cited by-同舟云学术

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RAGE-Net: Enhanced retinal vessel segmentation U-shaped network using Gabor convolution

Published:2024-10 Issue: Volume:153 Page:104643
ISSN:1051-2004
Container-title:Digital Signal Processing
language:en
Short-container-title:Digital Signal Processing

Author:

Yang Chongling,Tang Yaorui,Peng Hong,Luo Xiaohui^ORCID

Publisher

Elsevier BV

Reference58 articles.

1. Blood vessel segmentation of retinal image based on dense-u-net network;Li;Micromachines,2021

2. Deep learning for fully automatic detection, segmentation, and Gleason grade estimation of prostate cancer in multiparametric magnetic resonance images;Pellicer-Valero;Sci. Rep.,2022

3. An ensemble classification-based approach applied to retinal blood vessel segmentation;Fraz;IEEE Trans. Biomed. Eng.,2012

4. A comprehensive survey on segmentation techniques for retinal vessel segmentation;Cervantes;Neurocomputing,2023

5. A review of vessel extraction techniques and algorithms;Kirbas;ACM Comput. Surv.,2004

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