BraTS Orchestrator
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Providing the top-performing algorithms from the Brain Tumor Segmentation (BraTS) challenges, through an easy-to-use Python API.
Documentation
|
Quickstart Get up and running in minutes. Go to Quickstart |
Segmentation Adult glioma, meningioma, metastases, and more. Go to Segmentation |
|
Inpainting Synthesize healthy tissue in tumor regions. Go to Inpainting |
Missing MRI Generate missing MRI sequences. Go to Missing MRI |
Installation
pip install brats
# Python >= 3.10 required for preprocessing:
pip install brats[preprocessing]
Quick Example
from brats import AdultGliomaPreAndPostTreatmentSegmenter
segmenter = AdultGliomaPreAndPostTreatmentSegmenter(cuda_devices="0")
segmenter.infer_single(
t1c="path/to/t1c.nii.gz",
t1n="path/to/t1n.nii.gz",
t2f="path/to/t2f.nii.gz",
t2w="path/to/t2w.nii.gz",
output_file="segmentation.nii.gz",
)
Citation
If you use BraTS Orchestrator in your research, please cite:
Kofler, F., et al. (2025). BraTS orchestrator: Democratizing and Disseminating state-of-the-art brain tumor image analysis. arXiv:2506.13807
@misc{kofler2025bratsorchestratordemocratizing,
title={BraTS orchestrator: Democratizing and Disseminating state-of-the-art brain tumor image analysis},
author={Florian Kofler and others},
year={2025},
eprint={2506.13807},
archivePrefix={arXiv},
primaryClass={eess.IV},
url={https://arxiv.org/abs/2506.13807},
}
Contributing
We welcome contributions! Please open a new issue here or have a look at our CONTRIBUTING.md.
License
2 maintainers
Metadata
2 maintainers
Release files for brats 0.1.13
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|---|---|---|---|---|
| brats-0.1.13-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 378.4 kB
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