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| title: NeuroSSL Dementia Classifier | |
| emoji: 🧠 | |
| colorFrom: indigo | |
| colorTo: purple | |
| sdk: docker | |
| app_port: 7860 | |
| pinned: true | |
| license: mit | |
| short_description: Self-Supervised ViT for MRI-based Dementia Classification | |
| # NeuroSSL — Dementia Classifier | |
| A deep learning clinical diagnostics app built with a **Self-Supervised Vision Transformer (ViT)** trained on OASIS & IXI brain MRI datasets. | |
| ## Features | |
| - **Real-time Inference** on brain MRI slices with attention rollout visualization | |
| - **Platt-calibrated probabilities** with MC Dropout uncertainty quantification | |
| - **Interactive MRI Viewer** with pan, zoom, and multiple scientific colormaps | |
| - **Diagnostic Report Generator** with PDF/print export | |
| - **Model Analytics Dashboard** with cross-validation metrics and training curves | |
| ## Architecture | |
| - **Encoder:** MultiScaleViT2D (384-dim, 12 blocks, 6 heads) | |
| - **Classifier:** Second-Order Covariance Pooling | |
| - **Calibration:** Platt Temperature Scaling (T = 1.6995) | |
| - **Uncertainty:** Monte Carlo Dropout | |