A Multi-Scale Residual Attention Network for Retinal Vessel Segmentation

A Multi-Scale Residual Attention Network for Retinal Vessel Segmentation

Accurate segmentation of retinal blood vessels is a key step in the diagnosis of fundus diseases, among which cataracts, glaucoma, and diabetic retinopathy (DR) are the main diseases that cause blindness. Most segmentation methods based on deep convolutional neural networks can effectively extract f...

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Bibliographic Details
Main Authors: Yun Jiang, Huixia Yao, Chao Wu, Wenhuan Liu
Format: Article
Language:English
Published: MDPI AG 2021-12-01
Series:Symmetry
Subjects:
deep convolutional neural work
multi-scale
retinal vessel segmentation
attention mechanism
skip connection
Online Access:https://www.mdpi.com/2073-8994/13/1/24

Internet

https://www.mdpi.com/2073-8994/13/1/24

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