[](https://www.python.org/)
[](https://github.com/frankkramer-lab/aucmedi)
[](https://app.codecov.io/gh/frankkramer-lab/aucmedi/)
[](https://frankkramer-lab.github.io/aucmedi/reference/)
[](https://pypi.org/project/aucmedi/)
[](https://pypistats.org/packages/aucmedi)
[](https://www.gnu.org/licenses/gpl-3.0.en.html)
The open-source software AUCMEDI allows fast setup of medical image classification pipelines with state-of-the-art methods via an intuitive, high-level Python API or via an AutoML deployment through Docker/CLI.
## Resources
- Website: [AUCMEDI Website - Home](https://frankkramer-lab.github.io/aucmedi/)
- Git Repository: [GitHub - frankkramer-lab/aucmedi](https://github.com/frankkramer-lab/aucmedi)
- Documentation: [AUCMEDI Wiki - API Reference](https://frankkramer-lab.github.io/aucmedi/reference/)
- Getting Started: [AUCMEDI Website - Getting Started](https://frankkramer-lab.github.io/aucmedi/getstarted/intro/)
- Examples: [AUCMEDI Wiki - Examples](https://frankkramer-lab.github.io/aucmedi/examples/framework/)
- Tutorials: [AUCMEDI Wiki - Tutorials](https://frankkramer-lab.github.io/aucmedi/examples/tutorials/)
- Applications: [AUCMEDI Wiki - Applications](https://frankkramer-lab.github.io/aucmedi/examples/applications/)
- PyPI Package: [PyPI - aucmedi](https://pypi.org/project/aucmedi/)
- Docker Image: [GitHub - ghcr.io/frankkramer-lab/aucmedi](https://github.com/frankkramer-lab/aucmedi/pkgs/container/aucmedi)
- Zenodo Repository: [Zenodo - AUCMEDI](https://zenodo.org/record/6633540)
## How to cite
AUCMEDI is currently unpublished. But coming soon!
In the meantime:
Please cite our base framework MIScnn as well as the AUCMEDI GitHub repository:
```
Müller, D., Kramer, F. MIScnn: a framework for medical image segmentation with
convolutional neural networks and deep learning. BMC Med Imaging 21, 12 (2021).
https://doi.org/10.1186/s12880-020-00543-7
```
```
Müller, D., Mayer, S., Hartmann, D., Meyer, P., Schneider, P., Soto-Rey, I., & Kramer, F. (2022).
AUCMEDI: a framework for Automated Classification of Medical Images (Version X.Y.Z) [Computer software].
GitHub repository. https://github.com/frankkramer-lab/aucmedi
```
Thank you for citing our work.
### Lead Author
Dominik Müller\
Email: dominik.mueller@informatik.uni-augsburg.de\
IT-Infrastructure for Translational Medical Research\
University Augsburg\
Bavaria, Germany
## License
This project is licensed under the GNU GENERAL PUBLIC LICENSE Version 3.\
See the LICENSE.md file for license rights and limitations.
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