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eye-disease

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avijit-jana / eye-diagnosis-attention-cnn

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A deep learning framework for automated diagnosis of Diabetic Retinopathy, AMD, and Glaucoma using a Hybrid Attention-CNN model. Combines ResNet50 with self-attention for enhanced accuracy and interpretability. Includes Python implementation, preprocessing pipeline, training scripts, and case study documentation.

python computer-vision deep-learning tensorflow keras cnn medical-imaging image-classification attention-mechanism hybrid-model ophthalmology diabetic-retinopathy glaucoma resnet50 disease-detection age-related-macular-degeneration medical-ai healthcare-ai eye-disease ai-healthcare
  • Updated Dec 20, 2025
  • Python

maheenshkk / medical-eye-disease-classification

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Deep learning web app classifies eye diseases (Cataract, Retinopathy, Glaucoma, Normal) using a CNN with TensorFlow/Keras. Flask backend enables real-time image classification; frontend ensures ease of use. Trained on 4,217 images, it offers high accuracy, preprocessing, and visualizations. Scalable for healthcare.

deep-learning eda medical-imaging image-classification diabetic-retinopathy eye-disease
  • Updated Aug 26, 2025
  • Python

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