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| title: Surgical-DeSAM | |
| emoji: 🔬 | |
| colorFrom: blue | |
| colorTo: green | |
| sdk: gradio | |
| sdk_version: 6.2.0 | |
| app_file: app.py | |
| pinned: false | |
| license: apache-2.0 | |
| short_description: AI-powered medical video segmentation demo for anatomical st | |
| # Surgical-DeSAM | |
| Surgical instrument segmentation using DeSAM (Decoupled SAM) architecture. | |
| Upload a surgical image to get instance segmentation masks for instruments. | |
| ## Model | |
| Based on [Surgical-DeSAM](https://github.com/YuyangSheng/Surgical-DeSAM) - integrates DETR for detection and SAM for segmentation. | |
| ## Classes Detected | |
| - Bipolar Forceps | |
| - Prograsp Forceps | |
| - Large Needle Driver | |
| - Monopolar Curved Scissors | |
| - Ultrasound Probe | |
| - Suction | |
| - Clip Applier | |
| - Stapler |