AI Tool for Automated Diagnosis of Eye Diseases from Retinal Images
DOI:
https://doi.org/10.48047/pvbwcb49Keywords:
Keywords: Retinal imaging, Diabetic retinopathy, Predictive analytics, Supervised learning, Deep neural networks, Convolutional neural networksAbstract
This project presents an AI-based automated diagnosis system designed to detect eye diseases from retinal images with high accuracy and efficiency. It combines advanced deep learning techniques with a user-friendly graphical interface, providing clinicians and researchers with a powerful tool for early disease detection and analysis. The system begins with comprehensive dataset management, allowing users to upload retinal images, map them to specific target classes such as Diabetic Retinopathy (DR), Macular Hole (MH), Normal, and Other Diseases/Conditions
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