inference
API Documentation for Inference Code (Segmenter Backend) for HOPE-Segmenter-Kids
Welcome to the API documentation for the inference code, the segmenter backend for HOPE-Segmenter-Kids. Navigate through the table of contents on the left to explore detailed documentation for each submodule.
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 instruction are available at segmenter.hope4kids.io and instructions.
Citations
If you use and/or refer to this software in your research, please cite the following papers:
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.
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.
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.
Copyright Notification
Copyright 2024 Children's National Medical Center and Universidad Politécnica de Madrid.
1""" 2### API Documentation for Inference Code (Segmenter Backend) for HOPE-Segmenter-Kids 3 4Welcome to the API documentation for the inference code, the segmenter backend for HOPE-Segmenter-Kids. Navigate through the table of contents on the left to explore detailed documentation for each submodule. 5 6This project develops the **Pediatric Brain Tumor Segmenter**, a free, open-source web-based application 7designed at [Children's National Hospital](https://www.childrensnational.org/) as part of the [HOPE platform](https://docs.hope4kids.io/HOPE-Platform/) 8for the segmentation and analysis of pediatric brain tumors in magnetic resonance imaging (MRI). 9Developed in Python, this software aims to provide precise quantitative analysis 10of pediatric brain MRI, to support clinical decision-making in diagnosis and prognosis. 11The software and instruction are available at [segmenter.hope4kids.io](https://segmenter.hope4kids.io/) and [instructions](https://docs.hope4kids.io/HOPE-Segmenter-Kids/). 12 13<img alt="Example Screenshot" src="https://raw.githubusercontent.com/Precision-Medical-Imaging-Group/HOPE-Segmenter-Kids/refs/heads/main/docs/assets/img/Segmentation.png" width="500"> 14 15### Citations 16 17If you use and/or refer to this software in your research, please cite the following papers: 18 19* 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," 20*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]( 21https://doi.org/10.48550/arXiv.2409.08232). 22 23* Z. Jiang, D. Capellán-Martín, A. Parida, X. Liu, M. J. Ledesma-Carbayo, S. M. Anwar, M. G. Linguraru, 24"Enhancing Generalizability in Brain Tumor Segmentation: Model Ensemble with Adaptive Post-Processing," 25*2024 IEEE International Symposium on Biomedical Imaging (ISBI)*, Athens, Greece, 2024, pp. 1-4, 26doi: [10.1109/ISBI56570.2024.10635469](https://ieeexplore.ieee.org/document/10635469/authors#authors). 27 28### Disclaimer 29 30This 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. 31 32### Copyright Notification 33 34Copyright 2024 Children's National Medical Center and Universidad Politécnica de Madrid. 35 36"""