README.md

metadata

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 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