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| title: CliniScan | |
| emoji: π« | |
| colorFrom: blue | |
| colorTo: indigo | |
| sdk: docker | |
| app_port: 7860 | |
| pinned: false | |
| # CliniScan β AI Chest X-Ray Analysis | |
| Multi-label chest X-ray disease detection using deep learning. | |
| ## Features | |
| - Single image analysis with 14 disease classification | |
| - Bounding box detection with YOLOv8 | |
| - Grad-CAM heatmap visualization | |
| - Batch processing with CSV export | |
| - PDF report generation | |
| - Model dashboard with experiment results | |
| ## Models | |
| - Classification: EfficientNet-B0 (AdamW, AUC=0.9213) | |
| - Detection: YOLOv8s (D2_LowLR, mAP@50=0.0592) | |
| ## Dataset | |
| NIH ChestX-ray14 β 3000 images β 14 disease classes | |