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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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---
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license: mit
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language:
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- en
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metrics:
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- accuracy
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- f1
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tags:
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- >-
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retinal-disease-detection medical-imaging - fundus-images - mobilenetv2
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- classification
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---
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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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