Retinal blood vessel segmentation based on Densely Connected U-Net

Retinal blood vessel segmentation based on Densely Connected U-Net

The segmentation of blood vessels from retinal images is an important and challenging task in medical analysis and diagnosis. This paper proposes a new architecture of the U-Net network for retinal blood vessel segmentation. Adding dense block to U-Net network makes each layer’s input come from the...

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Bibliographic Details
Main Authors: Yinlin Cheng, Mengnan Ma, Liangjun Zhang, ChenJin Jin, Li Ma, Yi Zhou
Format: Article
Language:English
Published: AIMS Press 2020-04-01
Series:Mathematical Biosciences and Engineering
Subjects:
retinal fundus image
u-net
blood vessel segmentation
neural networks
dense block
Online Access:http://www.aimspress.com/article/10.3934/mbe.2020175?viewType=HTML

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http://www.aimspress.com/article/10.3934/mbe.2020175?viewType=HTML

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