A Novel Approach for Diabetic Retinopathy Screening Using Asymmetric Deep Learning Features

A Novel Approach for Diabetic Retinopathy Screening Using Asymmetric Deep Learning Features

Automatic screening of diabetic retinopathy (DR) is a well-identified area of research in the domain of computer vision. It is challenging due to structural complexity and a marginal contrast difference between the retinal vessels and the background of the fundus image. As bright lesions are promine...

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Bibliographic Details
Main Authors: Pradeep Kumar Jena, Bonomali Khuntia, Charulata Palai, Manjushree Nayak, Tapas Kumar Mishra, Sachi Nandan Mohanty
Format: Article
Language:English
Published: MDPI AG 2023-01-01
Series:Big Data and Cognitive Computing
Subjects:
diabetic retinopathy
blood vessel
optic disc
segmentation
U-Net
deep learning
Online Access:https://www.mdpi.com/2504-2289/7/1/25

Internet

https://www.mdpi.com/2504-2289/7/1/25

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