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This project develops the Pediatric Brain Tumor Segmenter, a free, open-source web-based application
designed at Children's National Hospital as part of the HOPE platform
for the segmentation and analysis of pediatric brain tumors in magnetic resonance imaging (MRI).
Developed in Python, this software aims to provide precise quantitative analysis
of pediatric brain MRI, to support clinical decision-making in diagnosis and prognosis.
The software and instructions are available at segmenter.hope4kids.io and instructions.
If you use and/or refer to this software in your research, please cite the following papers:
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D. Capellán-Martín, 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.
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Z. Jiang, D. Capellán-Martín, 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.
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.
This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.
