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TOPOS: Target Organ Prediction of Scout Views for Automated CT Scan Planning

Project description

TOPOS

Target Organ Prediction of Scout Views for Automated CT Scan Planning

TOPOS is a deep learning-based tool for anatomical region detection and localization from scout scans. It uses a trained nnUNet v2 model to segment 26 anatomical labels from 2D radiographic scout views.

This package provides a simple Python interface for inference and post-processing, and automatically downloads the model checkpoint from Hugging Face.


Features

  • Deep learning-based organ localization
  • 26 anatomical structures supported
  • Compatible with nnUNet v2 (2D configuration)
  • Automatically downloads the pretrained checkpoint
  • Outputs per-label .nii.gz segmentations

Installation

# Install nnUNet v2 (required)
pip install nnunetv2

# Install TOPOS
pip install topos

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