MAG-Net : Multi-fusion network with grouped attention for retinal vessel segmentation

MAG-Net : Multi-fusion network with grouped attention for retinal vessel segmentation

Retinal vessel segmentation plays a vital role in the clinical diagnosis of ophthalmic diseases. Despite convolutional neural networks (CNNs) excelling in this task, challenges persist, such as restricted receptive fields and information loss from downsampling. To address these issues, we propose a...

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Bibliographic Details
Main Authors: Yun Jiang, Jie Chen, Wei Yan, Zequn Zhang, Hao Qiao, Meiqi Wang
Format: Article
Language:English
Published: AIMS Press 2024-01-01
Series:Mathematical Biosciences and Engineering
Subjects:
retinal images
vessel segmentation
convolutional neural network
multi-scale technique
attention mechanism
Online Access:https://www.aimspress.com/article/doi/10.3934/mbe.2024086?viewType=HTML

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https://www.aimspress.com/article/doi/10.3934/mbe.2024086?viewType=HTML

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