End-to-End Automatic Classification of Retinal Vessel Based on Generative Adversarial Networks with Improved U-Net

End-to-End Automatic Classification of Retinal Vessel Based on Generative Adversarial Networks with Improved U-Net

The retinal vessels in the human body are the only ones that can be observed directly by non-invasive imaging techniques. Retinal vessel morphology and structure are the important objects of concern for physicians in the early diagnosis and treatment of related diseases. The classification of retina...

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Bibliographic Details
Main Authors: Jieni Zhang, Kun Yang, Zhufu Shen, Shengbo Sang, Zhongyun Yuan, Runfang Hao, Qi Zhang, Meiling Cai
Format: Article
Language:English
Published: MDPI AG 2023-03-01
Series:Diagnostics
Subjects:
retinal vessel classification
fundus image
GAN
U-Net
image segmentation
Online Access:https://www.mdpi.com/2075-4418/13/6/1148

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https://www.mdpi.com/2075-4418/13/6/1148

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