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.gzsegmentations
Installation
# Install nnUNet v2 (required)
pip install nnunetv2
# Install TOPOS
pip install topos
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