🧪 Skills
Dicom Segmentation Api
Deploy and manage medical image segmentation using TotalSegmentator and MONAI with DICOM upload, batch processing, 3D export, and statistics generation.
v1.0.0
Description
DICOM Segmentation API
Deploy medical image segmentation API using TotalSegmentator and MONAI.
Features
- TotalSegmentator integration (117 body structures)
- MONAI workflow support
- Fast API server
- DICOM file upload
- 3D model export (GLB format)
- Statistics generation
- Batch processing
Usage
# Start server
python api_server.py
# Or with custom port
python api_server.py --port 8000
API Endpoints
POST /api/segment- Upload DICOM for segmentationGET /api/task/{task_id}- Get task statusGET /api/result/{task_id}- Get segmentation resultGET /health- Health check
Requirements
- Python 3.8+
- CUDA (optional, for GPU acceleration)
- 8GB RAM minimum
Models
- TotalSegmentator: 117 body structures
- MONAI: whole-body-3mm, organ, tumor models
Author
Sunshine-del-ux
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