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retinaldiseasedetection

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pradeeshreddy03 / Retinal-Disorder-Prediction-Using-Deep-Learning-

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This project utilizes VGG19, Xception, and a custom CNN to classify retinal diseases from OCT images. The custom CNN achieved 95.47% accuracy, demonstrating AI's potential in improving diagnostic accuracy for ophthalmic disorders. Additionally, a Flask-based web app enables users to upload images for real-time predictions.

python flask data-science tensorflow keras cnn deeplearning vgg19 html-css-javascript xception retinaldiseasedetection
  • Updated Jun 17, 2024
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