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@@ -26,7 +26,7 @@ model_name: "RetinaGen-VLM"
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  ### 📝 Project Overview
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  RetinaGen-VLM is a multimodal deep learning framework designed to bridge the gap between fundus imaging and clinical reporting. By leveraging a **VQ-VAE** based discrete latent space and an autoregressive **Transformer**, the model identifies diabetic retinopathy stages while generating descriptive medical narratives.
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  ### 🔬 Key Features
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  - **Multimodal Reasoning:** Aligns visual features with medical terminology.
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  - **Synthetic Data Augmentation:** Utilizes generative modeling to balance rare pathological cases (PDR).
 
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  ### 📝 Project Overview
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  RetinaGen-VLM is a multimodal deep learning framework designed to bridge the gap between fundus imaging and clinical reporting. By leveraging a **VQ-VAE** based discrete latent space and an autoregressive **Transformer**, the model identifies diabetic retinopathy stages while generating descriptive medical narratives.
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+ ![RetinaGen-VLM Architecture](architecture)
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  ### 🔬 Key Features
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  - **Multimodal Reasoning:** Aligns visual features with medical terminology.
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  - **Synthetic Data Augmentation:** Utilizes generative modeling to balance rare pathological cases (PDR).