Detection of Diabetic Retinopathy Using a Multi-Decision Inception-ResNet-Blended Hybrid Model

Detection of Diabetic Retinopathy Using a Multi-Decision Inception-ResNet-Blended Hybrid Model

Diabetic retinopathy (DR) is a severe complication of diabetes that affects the retinal structures and can lead to significant visual impairment or even blindness. Early diagnosis is crucial for reducing and preventing the progression of this condition. However, detecting DR’s early stage...

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Bibliographic Details
Main Authors: Santosh Kumar Henge, Nikhil Reddy Viraati, Musaed Alhussein, Ajay Shriram Kushwaha, Khursheed Aurangzeb, Ravleen Singh
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Access
Subjects:
Adam optimization
clustered class
convolutional neural network
deep learning
dual image
diabetic retinopathy
Online Access:https://ieeexplore.ieee.org/document/10820183/
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