A Multi-Scale Feature Fusion Method Based on U-Net for Retinal Vessel Segmentation

A Multi-Scale Feature Fusion Method Based on U-Net for Retinal Vessel Segmentation

Computer-aided automatic segmentation of retinal blood vessels plays an important role in the diagnosis of diseases such as diabetes, glaucoma, and macular degeneration. In this paper, we propose a multi-scale feature fusion retinal vessel segmentation model based on U-Net, named MSFFU-Net. The mode...

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Bibliographic Details
Main Authors: Dan Yang, Guoru Liu, Mengcheng Ren, Bin Xu, Jiao Wang
Format: Article
Language:English
Published: MDPI AG 2020-07-01
Series:Entropy
Subjects:
multi-scale
retinal vessel segmentation
U-Net
inception structure
max-pooling index
Online Access:https://www.mdpi.com/1099-4300/22/8/811

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