Welcome to AURORA’s documentation!
AURORA
Deep learning models for brain cancer metastasis segmentation based on the manuscripts:
Installation
With a Python 3.10+ environment, you can install directly from pypi.org:
pip install brainles-aurora
Recommended Environment
CUDA 11.4+ (https://developer.nvidia.com/cuda-toolkit)
Python 3.10+
GPU with CUDA support and at least 8GB of VRAM
Usage
BrainLes features Jupyter Notebook tutorials with usage instructions.
Citation
Please support our development by citing the following manuscripts:
Identifying core MRI sequences for reliable automatic brain metastasis segmentation
@article{buchner2023identifying,
title={Identifying core MRI sequences for reliable automatic brain metastasis segmentation},
author={Buchner, Josef A and Peeken, Jan C and Etzel, Lucas and Ezhov, Ivan and Mayinger, Michael and Christ, Sebastian M and Brunner, Thomas B and Wittig, Andrea and Menze, Bjoern H and Zimmer, Claus and others},
journal={Radiotherapy and Oncology},
volume={188},
pages={109901},
year={2023},
publisher={Elsevier}
}
also consider citing the original AURORA manuscript, especially when using the vanilla model:
@article{buchner2022development,
title={Development and external validation of an MRI-based neural network for brain metastasis segmentation in the AURORA multicenter study},
author={Buchner, Josef A and Kofler, Florian and Etzel, Lucas and Mayinger, Michael and Christ, Sebastian M and Brunner, Thomas B and Wittig, Andrea and Menze, Bj{\"o}rn and Zimmer, Claus and Meyer, Bernhard and others},
journal={Radiotherapy and Oncology},
year={2022},
publisher={Elsevier}
}
Licensing
This project is licensed under the terms of the GNU Affero General Public License v3.0.
Contact us regarding licensing.
Contact / Feedback / Questions
If possible please open a GitHub issue here.
For inquiries not suitable for GitHub issues:
Florian Kofler florian.kofler [at] tum.de
Josef Buchner j.buchner [at] tum.de