BraTS-2024-Complete / README.md
Aff77's picture
Duplicate from Spirit-26/BraTS-2024-Complete
6c2317d
---
license: cc-by-nc-sa-4.0
language: en
tags:
- medical-imaging
- brain-tumor
- segmentation
- mri
- brats-2024
- brats
size_categories:
- 10B<n<100B
task_categories:
- image-segmentation
---
# BraTS 2024 Complete Prepared Dataset
## Brain Tumor Segmentation
## 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 Archive |
Total: 2,728 multi-parametric MRI cases
### Structure
```
BraTS-2024-Complete/
├── BraTS-GLI/
│ ├── train/ # 1,621 cases
│ └── val/ # 188 cases
├── BraTS-MEN-RT/
│ ├── train/ # 500 cases
│ ├── train_additional/# 1 case
│ └── val/ # 70 cases
└── BraTS-PED/
├── train/ # 257 cases
└── val/ # 91 cases
```
Each 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.xlsx`
- `CITATIONS.bib`
### BraTS-MEN-RT
- `Meningioma radiotherapy supplementary clinical data.xlsx`
- `CITATION.bib`
## License Information
This dataset combines three collections with different terms. See [LICENSES.md](LICENSES.md) for complete details.
| Collection | License | Summary |
|------------|---------|---------|
| BraTS-GLI | Synapse Terms | Research only, must cite |
| BraTS-MEN-RT | Synapse Terms | Research only, must cite |
| BraTS-PED | CC BY-NC 4.0 | Share + adapt with attribution, non-commercial |
## 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