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# BraTS2024-PEDS
Pediatric Brain Tumor Segmentation
# Pediatric Brain Tumor Segmentation

<img alt="Example Screenshot" src="https://raw.githubusercontent.com/Precision-Medical-Imaging-Group/HOPE-Segmenter-Kids/refs/heads/main/docs/assets/img/Segmentation.png">

## Docker & Singularity

To run the algorithm using a docker or singularity container on your local data follow the steps provided at [docker hub](https://hub.docker.com/repository/docker/aparida12/brats-peds-2024).

## Online Segmenter

The online no-installation segmenter web app is available at [segmenter.hope4kids.io](https://segmenter.hope4kids.io/).

## Citations

If you use and/or refer to this software in your research, please cite the following papers:

* D. Capell&aacute;n-Mart&iacute;n, Z. Jiang, A. Parida, X. Liu, V. Lam, H. Nisar, A. Tapp, S. Elsharkawi, M. J. Ledesma-Carbayo, S. M. Anwar, M. G. Linguraru, "Model Ensemble for Brain Tumor Segmentation in Magnetic Resonance Imaging,"
*Accepted in: S. Bakas, et al. Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries. MICCAI Workshop BrainLes 2023*, *arXiv:2409.08232 \[eess.IV\]* (2024), doi: [10.48550/arXiv.2409.08232](
https://doi.org/10.48550/arXiv.2409.08232).

* Z. Jiang, D. Capell&aacute;n-Mart&iacute;n, A. Parida, X. Liu, M. J. Ledesma-Carbayo, S. M. Anwar, M. G. Linguraru,
"Enhancing Generalizability in Brain Tumor Segmentation: Model Ensemble with Adaptive Post-Processing," 
*2024 IEEE International Symposium on Biomedical Imaging (ISBI)*, Athens, Greece, 2024, pp. 1-4,
doi: [10.1109/ISBI56570.2024.10635469](https://ieeexplore.ieee.org/document/10635469/authors#authors).

## Disclaimer

This software is provided without any warranties or liabilities and is intended for research purposes only. It has not been reviewed or approved for clinical use by the Food and Drug Administration (FDA) or any other federal or state agency.

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