🧪 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
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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 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

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Compatible Platforms

Pricing

Free

Related Configs