AI-Based Automatic Detection and Classification of Diabetic Retinopathy Using U-Net and Deep Learning

AI-Based Automatic Detection and Classification of Diabetic Retinopathy Using U-Net and Deep Learning

Artificial intelligence is widely applied to automate Diabetic retinopathy diagnosis. Diabetes-related retinal vascular disease is one of the world’s most common leading causes of blindness and vision impairment. Therefore, automated DR detection systems would greatly benefit the early screening and...

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Bibliographic Details
Main Authors: Anas Bilal, Liucun Zhu, Anan Deng, Huihui Lu, Ning Wu
Format: Article
Language:English
Published: MDPI AG 2022-07-01
Series:Symmetry
Subjects:
diabetic retinopathy (DR)
DR detection and classification
automatic diagnosis
feature extraction
multi-class segmentation and classification
fundus images (FIs)
Online Access:https://www.mdpi.com/2073-8994/14/7/1427

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https://www.mdpi.com/2073-8994/14/7/1427

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