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BraTS 2020

Automatic segmentation of brain tumors is an essential but challenging step for extracting quantitative imaging biomarkers for accurate tumor detection, diagnosis, prognosis, treatment planning and assessment. Multimodal Brain Tumor Segmentation Challenge 2020 (BraTS 2020) provides a common platform for comparing different automatic algorithms on multi-parametric Magnetic Resonance Imaging (mpMRI) in tasks of 1) Brain tumor segmentation MRI scans; 2) Prediction of patient overall survival (OS) from pre-operative MRI scans; 3) Distinction of true tumor recurrence from treatment related effects and 4) Evaluation of uncertainty measures in segmentation.

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Cite this as

Jordan Colman, Lei Zhang, Wenting Duan, Xujiong Ye (2024). Dataset: BraTS 2020. https://doi.org/10.57702/bvdq5afv

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Additional Info

Field Value
Created December 16, 2024
Last update December 16, 2024
Defined In https://doi.org/10.48550/arXiv.2011.03188
Citation
  • https://doi.org/10.48550/arXiv.2101.10589
  • https://doi.org/10.48550/arXiv.2110.10640
  • https://doi.org/10.48550/arXiv.2310.18656
Author Jordan Colman
More Authors
Lei Zhang
Wenting Duan
Xujiong Ye
Homepage https://doi.org/10.1007/978-3-030-72087-2_36