A deep learning based model for diabetic retinopathy grading

A deep learning based model for diabetic retinopathy grading

Abstract Diabetic retinopathy stands as a leading cause of blindness among people. Manual examination of DR images is labor-intensive and prone to error. Existing methods to detect this disease often rely on handcrafted features which limit the adaptability and classification accuracy. Thus, the aim...

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Bibliographic Details
Main Authors: Samia Akhtar, Shabib Aftab, Oualid Ali, Munir Ahmad, Muhammad Adnan Khan, Sagheer Abbas, Taher M. Ghazal
Format: Article
Language:English
Published: Nature Portfolio 2025-01-01
Series:Scientific Reports
Subjects:
Diabetic retinopathy
Convolutional neural network
Deep learning
Augmentation
Optimization algorithm
Online Access:https://doi.org/10.1038/s41598-025-87171-9
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