Redefining Retinal Lesion Segmentation: A Quantum Leap With DL-UNet Enhanced Auto Encoder-Decoder for Fundus Image Analysis

The first diagnosis of diabetic retinopathy (DR) must include lesion segmentation. As it takes a lot of time and effort to label lesions, automatic segmentation methods have to be created manually. The degree of the retina’s degenerative lesions determines how severe diabetic retinopathy...

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Bibliographic Details

Published in:	IEEE Access
Main Authors:	B. Naveen Kumar, T. R. Mahesh, G. Geetha, Suresh Guluwadi
Format:	Article
Language:	English
Published:	IEEE 2023-01-01
Subjects:	Diabetic retinopathy patch generation fundus images lesion segmentation encoder-decoder network convolutional neural network
Online Access:	https://ieeexplore.ieee.org/document/10177951/