Diabetic Retinopathy Early Analysis and Detection System
Version 1This preprint presents an AI-driven system for the early analysis and detection of Diabetic Retinopathy (DR) using ensemble deep learning techniques. Diabetic Retinopathy is a leading cause of preventable blindness worldwide, and timely diagnosis plays a critical role in reducing irreversible vision loss. The proposed framework integrates multiple deep learning architectures, including convolutional neural networks and transformer-based models, to improve diagnostic accuracy, robustness, and ge
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This preprint presents an AI-driven system for the early analysis and detection of Diabetic Retinopathy (DR) using ensemble deep learning techniques. Diabetic Retinopathy is a leading cause of preventable blindness worldwide, and timely diagnosis plays a critical role in reducing irreversible vision loss.
The proposed framework integrates multiple deep learning architectures, including convolutional neural networks and transformer-based models, to improve diagnostic accuracy, robustness, and ge