A hybrid deep learning framework for early detection of diabetic retinopathy using retinal fundus images

A hybrid deep learning framework for early detection of diabetic retinopathy using retinal fundus images

Abstract Recent advancements in deep learning have significantly impacted medical image processing domain, enabling sophisticated and accurate diagnostic tools. This paper presents a novel hybrid deep learning framework that combines convolutional neural networks (CNNs) and recurrent neural networks...

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Bibliographic Details
Main Authors: Mishmala Sushith, A. Sathiya, V. Kalaipoonguzhali, V. Sathya
Format: Article
Language:English
Published: Nature Portfolio 2025-04-01
Series:Scientific Reports
Subjects:
Diabetic retinopathy
Deep learning
Retinal fundus images
Convolutional neural network
Recurrent neural network
Temporal analysis
Online Access:https://doi.org/10.1038/s41598-025-99309-w
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https://doi.org/10.1038/s41598-025-99309-w

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