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+ RetinaVision-MNet is a custom-trained MobileNetV2-based deep learning model for multi-class retinal disease detection.
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+ It predicts 10 retinal conditions from fundus images and generates Grad-CAM heatmaps for interpretable diagnosis.
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+ The model was trained from scratch and is hosted on Hugging Face due to GitHub size limits.
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+ Key Features
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+ 10-class retinal disease classification
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+ MobileNetV2 backbone (lightweight + high accuracy)
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+ Grad-CAM visual explanations
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+ Trained from scratch on curated dataset
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+ Optimized for FastAPI deployment
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+ Usage
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+ Download the model file from the Files and Versions tab and load it into your application.