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Datasets:
PallabDev
/
BraTS-2024-Complete

Tasks:
Image Segmentation
Languages:
English
Size:
10B<n<100B
Tags:
medical-imaging
brain-tumor
segmentation
mri
brats-2024
brats
License:
Dataset card Files
xet
 Community
BraTS-2024-Complete
File size: 2,821 Bytes
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---
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 (Leave a like 💖 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 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