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| title: OncoVision-X | |
| emoji: 🫁 | |
| colorFrom: blue | |
| colorTo: gray | |
| sdk: docker | |
| pinned: false | |
| app_port: 7860 | |
| # OncoVision-X: Lung Cancer Detection System | |
| AI-powered lung cancer detection system using Dual-Context Attention Networks (DCA-Net). | |
| ## Overview | |
| This application analyzes CT scans to detect and classify lung nodules, providing clinical risk assessments and visualizations. | |
| ## How to use | |
| 1. Upload a CT scan file (.mhd, .nii, .nii.gz, .npz, or .npy). | |
| 2. Wait for the analysis to complete. | |
| 3. Review the detected nodules, their malignancy risk, and clinical recommendations. | |
| 4. Interact with the 3D visualization to examine the findings. | |
| ## Model Architecture | |
| Developed by the OncoVision team, utilizing: | |
| - **Nodule Analysis Stream**: EfficientNet-B0 with cross-slice attention. | |
| - **Context Analysis Stream**: 3D CNN for surrounding anatomy. | |
| - **Fusion**: Multi-head attention for final prediction. | |