Retinal Vessel Segmentation Combined With Generative Adversarial Networks and Dense U-Net

Retinal Vessel Segmentation Combined With Generative Adversarial Networks and Dense U-Net

Retinal blood vessels are the basis for clinical diagnosis of some diseases. Achieving automatic retinal vessel segmentation from fundus images is an important and challenging work. In this paper, a neural network architecture based on the Dense U-net using Inception module is proposed for retinal v...

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Bibliographic Details
Main Authors: Xiaoyu Guo, Cheng Chen, Yuanyuan Lu, Ke Meng, Hongyu Chen, Kangneng Zhou, Zhiliang Wang, Ruoxiu Xiao
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Retinal vessel segmentation
U-net
dense block
inception module
generative adversarial networks
Online Access:https://ieeexplore.ieee.org/document/9238003/

Internet

https://ieeexplore.ieee.org/document/9238003/

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