Dicom Segmentation Api

Data & APIs

Deploy and manage medical image segmentation using TotalSegmentator and MONAI with DICOM upload, batch processing, 3D export, and statistics generation.

Install

openclaw skills install dicom-segmentation-api

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 segmentation
GET /api/task/{task_id} - Get task status
GET /api/result/{task_id} - Get segmentation result
GET /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