About Diabetic Retinopathy Detection
Our web application utilizes advanced deep learning technology to accurately detect and classify diabetic retinopathy from retinal images. By leveraging the power of artificial intelligence, our model can analyze retinal images and identify the presence and severity of diabetic retinopathy, a common complication of diabetes that can lead to vision loss if left untreated.
How It Works
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Image Analysis
Our deep learning model will analyze the uploaded image, extracting relevant features and patterns to determine the presence and severity of diabetic retinopathy.
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Results
Within seconds, you'll receive the results, indicating whether diabetic retinopathy is present and its severity level (e.g., mild, moderate, severe, or proliferative).
About Diabetic Retinopathy
Diabetic retinopathy is a complication of diabetes that affects the blood vessels in the retina, the light-sensitive tissue at the back of the eye. Over time, high blood sugar levels can damage these blood vessels, leading to leakage, growth of new abnormal blood vessels, and ultimately vision loss if left untreated. Early detection and treatment of diabetic retinopathy are crucial to prevent or delay vision loss. By using our application, individuals with diabetes can easily and conveniently monitor their eye health, enabling timely intervention and better management of this condition.