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Providing top performing algorithms from the Brain Tumor Segmentation (BraTS) challenges.

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BrainLesion/BraTS

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PyPI version brats-algorithms Documentation Status tests

brats-algorithms

Top performing algorithms from the Brain Tumor Segmentation (BraTS) challenges, providing state-of-the-art models for brain lesion segmentation.

Features

  • Access to top-performing algorithms from recent BraTS challenges.
  • Easy-to-use inference API.
  • Extensive documentation and examples. (TODO!)

Installation

With a Python 3.10+ environment, you can install PACKAGE_NAME directly from PyPI:

pip install PACKAGE_NAME

Docker and NVIDIA Container Toolkit Setup

To run PACKAGE_NAME in a Docker container with GPU support (required for most algorithms), ensure you have Docker and NVIDIA Docker installed. Instructions:

  • Docker: Installation instructions on the official website
  • NVIDIA Container Toolkit: Installation instructions on the official GitHub page

Use Cases and Tutorials

TODO

Contributing

We welcome contributions from the community, including bug reports, feature requests, and code contributions. For more information on how to contribute, please see our CONTRIBUTING.md file.

License

TODO