BraTS Toolkit
BraTS Toolkit provides standardized preprocessing, automated segmentation, and consensus fusion to produce reliable brain tumor segmentations for clinical and research applications.
Key Features:
- BraTS Preprocessor: Performs image conversion, registration, brain extraction, and dataset standardization to ensure consistent input for segmentation algorithms.
- BraTS Segmentor: Orchestrates state-of-the-art brain tumor segmentation algorithms to generate fully automated segmentations.
- BraTS Fusionator: Synthesizes multiple candidate segmentations into consensus segmentations using majority voting and iterative SIMPLE fusion.
Scientific Applications:
- Clinical translation: Supports integration of automated brain tumor segmentation into routine clinical workflows by addressing preprocessing and standardization barriers.
- Research and algorithm evaluation: Enables deployment, comparison, and ensemble fusion of state-of-the-art segmentation methods to improve segmentation reliability and accuracy.
Methodology:
Computational methods explicitly include image conversion, registration, brain extraction, dataset standardization, automated segmentation with state-of-the-art algorithms, and consensus fusion via majority voting and iterative SIMPLE fusion.
Topics
Details
- License:
- AGPL-3.0
- Tool Type:
- workflow
- Programming Languages:
- Python
- Added:
- 1/18/2021
- Last Updated:
- 2/6/2021
Operations
Publications
Kofler F, Berger C, Waldmannstetter D, Lipkova J, Ezhov I, Tetteh G, Kirschke J, Zimmer C, Wiestler B, Menze BH. BraTS Toolkit: Translating BraTS Brain Tumor Segmentation Algorithms Into Clinical and Scientific Practice. Frontiers in Neuroscience. 2020;14. doi:10.3389/fnins.2020.00125. PMID:32410929. PMCID:PMC7201293.