Spirit-26/BraTS-2024-Complete
BraTS 2024 Complete Prepared Dataset Brain Tumor Segmentation (Leave a like π if this helped you) Dataset Description This is an organized and verified version of the BraTS 2024 challenge datasets, including three tumor types. Included Datasets Dataset Type Cases Source BraTS-GLI Glioma 1,809 Synapse (Dec 2024) BraTS-MEN-RT Meningioma + RT 571 Synapse (Feb 2025) BraTS-PED Pediatric 348 Cancer Imaging Archiveβ¦ See the full description on the dataset page: https://huggingface.co/datasets/Spirit-26/BraTS-2024-Complete.
BraTS 2024 Complete Prepared Dataset
Brain Tumor Segmentation (Leave a like π if this helped you)
Dataset Description
This is an organized and verified version of the BraTS 2024 challenge datasets, including three tumor types.
Included Datasets
Total: 2,728 multi-parametric MRI cases
Structure
BraTS-2024-Complete/
βββ BraTS-GLI/
β βββ train/ # 1,621 cases
β βββ val/ # 188 cases
βββ BraTS-MEN-RT/
β βββ train/ # 500 cases
β βββ train_additional/# 1 case
β βββ val/ # 70 cases
βββ BraTS-PED/
βββ train/ # 257 cases
βββ val/ # 91 casesEach patient folder contains:
- T1-weighted (t1n.nii.gz)
- T1-contrast enhanced (t1c.nii.gz)
- T2-weighted (t2w.nii.gz)
- T2-FLAIR (t2f.nii.gz)
- Segmentation mask (seg.nii.gz or gtv.nii.gz)
Dataset Features
- Verified integrity - all files load correctly
- Clean split - train/val already separated
- Complete metadata - all clinical files included
- Ready-to-use - organized for immediate training
Metadata Included
BraTS-PED
BraTS-PEDs_metadata.tsv- Patient demographics (age, sex, institution, survival)BraTS-PEDs_Imaging_Info.tsv- MRI technical parameters per scan
BraTS-GLI
BraTS-PTG supplementary demographic information and metadata.xlsxCITATIONS.bib
BraTS-MEN-RT
Meningioma radiotherapy supplementary clinical data.xlsxCITATION.bib
License Information
This dataset combines three collections with different terms. See LICENSES.md for complete details.
Citation
If you use this organized dataset, please cite:
@dataset{yourname_2025_brats2024complete,
author = {Your Name},
title = {BraTS-2024-Complete},
year = 2025,
publisher = {Hugging Face},
version = {1.0.0},
url = {https://huggingface.co/datasets/yourusername/BraTS-2024-Complete}
}
Additionally, cite the original BraTS papers as provided in the respective CITATION files.
Acknowledgments
- BraTS 2024 Organizers
- RSNA, ASNR, MICCAI
- The Cancer Imaging Archive (TCIA)
- All contributing institutions
