A Survey on Deep-Learning-Based Diabetic Retinopathy Classification
The number of people who suffer from diabetes in the world has been considerably increasing recently. It affects people of all ages. People who have had diabetes for a long time are affected by a condition called Diabetic Retinopathy (DR), which damages the eyes. Automatic detection using new techno...
Main Authors: | Anila Sebastian, Omar Elharrouss, Somaya Al-Maadeed, Noor Almaadeed |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2023-01-01
|
Series: | Diagnostics |
Subjects: | |
Online Access: | https://www.mdpi.com/2075-4418/13/3/345 |
Similar Items
-
A Survey on Diabetic Retinopathy Lesion Detection and Segmentation
by: Anila Sebastian, et al.
Published: (2023-04-01) -
GAN-Based Approach for Diabetic Retinopathy Retinal Vasculature Segmentation
by: Anila Sebastian, et al.
Published: (2023-12-01) -
Severity Grading and Early Retinopathy Lesion Detection through Hybrid Inception-ResNet Architecture
by: Sana Yasin, et al.
Published: (2021-10-01) -
Diabetic Retinopathy Classification With Deep Learning via Fundus Images: A Short Survey
by: Shanshan Zhu, et al.
Published: (2024-01-01) -
Diabetic retinopathy detection through deep learning techniques: A review
by: Wejdan L. Alyoubi, et al.
Published: (2020-01-01)