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Supplementary materials for the publication "Deep learning-based automated lesion segmentation on mouse stroke magnetic resonance images"

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stroke-lesion-segmentation

Supplementary materials for the publication "Deep learning-based automated lesion segmentation on mouse stroke magnetic resonance images".

This repository contains an interactive Jupyter notebook to run our deep learning stroke lesion detection model on mouse MRI scans. Note, the notebook contains a condensed, inference-only version of the pipeline so that not the full Voxelytics deep learning environment is required.

Requirements

  • Python 3.9+

pip install -r requirements.txt

Attribution

The above publication is a collaboration project between the Böhm-Sturm group at Charité and scalable minds.

All MRI scans, including the example in this repository, are property of the Böhm-Sturm group/Charitè. All code and machine learning models are property of scalable minds.

License

Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0)

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Supplementary materials for the publication "Deep learning-based automated lesion segmentation on mouse stroke magnetic resonance images"

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