Aff77/BraTS-2024-Complete

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

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.

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