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README.md
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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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### 🔬 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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