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An AI-powered tool leveraging ResNet-50 and Xception pretrained models to detect diabetic retinopathy with 97.5% accuracy. Upload a retinal image to instantly classify severity levels, aiding in early diagnosis and vision loss prevention.
Diabetic RetinopathyDiabetic Retinopathy Detector: AI-Powered Eye Care
Nawab Khanleft a comment
Diabetic Retinopathy Detector: AI-Powered Eye Care Introducing the Diabetic Retinopathy Detector, an innovative AI-powered tool designed to assist in the early detection and diagnosis of diabetic retinopathy—a leading cause of blindness worldwide. Built using ResNet-50 and Xception pretrained models, the detector leverages advanced deep learning techniques to achieve an impressive 97.5%...
Diabetic RetinopathyDiabetic Retinopathy Detector: AI-Powered Eye Care
Nawab Khanleft a comment
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Eye Diabetic Retinopathy Diabetic Retinopathy Detector API
The Diabetic Retinopathy Detector is a 97.5% accurate model for predicting diabetic retinopathy severity from retinal images, accessible via a public API for healthcare and research use.
Eye Diabetic RetinopathyEye Diabetic Retinopathy 97.5% Accuracy
The Diabetic Retinopathy Detector is a 97.5% accurate model for predicting diabetic retinopathy severity from retinal images, accessible via a public API for healthcare and research use.
Eye Diabetic Retinopathy Diabetic Retinopathy Detector API
Nawab Khanleft a comment
Diabetic Retinopathy Detector API The Diabetic Retinopathy Detector is a highly accurate model deployed to predict the severity of diabetic retinopathy in retinal images. This model achieves a 97.5% accuracy rate and is accessible via a public API for healthcare professionals, researchers, and developers. API Details Endpoint: https://5000-patient-truth-71443... Authentication: The API requires...
Eye Diabetic Retinopathy Diabetic Retinopathy Detector API
Nawab Khanleft a comment
Diabetic Retinopathy Detector API The Diabetic Retinopathy Detector is a highly accurate model deployed to predict the severity of diabetic retinopathy in retinal images. This model achieves a 97.5% accuracy rate and is accessible via a public API for healthcare professionals, researchers, and developers. API Details Endpoint: https://5000-patient-truth-71443... Authentication: The API requires...
Eye Diabetic RetinopathyEye Diabetic Retinopathy 97.5% Accuracy