A Lightweight Robust Deep Learning Model Gained High Accuracy in Classifying a Wide Range of Diabetic Retinopathy Images

A Lightweight Robust Deep Learning Model Gained High Accuracy in Classifying a Wide Range of Diabetic Retinopathy Images

Diabetic retinopathy (DR) is a common complication of diabetes mellitus, and retinal blood vessel damage can lead to vision loss and blindness if not recognized at an early stage. Manual DR detection using large fundus image data is time-consuming and error-prone. An effective automatic DR detection...

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Bibliographic Details
Main Authors: Mohaimenul Azam Khan Raiaan, Kaniz Fatema, Inam Ullah Khan, Sami Azam, Md. Rafi Ur Rashid, Md. Saddam Hossain Mukta, Mirjam Jonkman, Friso De Boer
Format: Article
Language:English
Published: IEEE 2023-01-01
Series:IEEE Access
Subjects:
Diabetic retinopathy
retinal fundus images
multi-class classification
image preprocessing
augmentation
convolutional neural network
Online Access:https://ieeexplore.ieee.org/document/10113630/

Internet

https://ieeexplore.ieee.org/document/10113630/

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