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BraTS 2018, 2019, 2020
BraTS 2018, 2019, 2020 datasets are used in the experiments. -
BraTS 2019 validation and testing datasets
The BraTS 2019 validation and testing datasets are used to evaluate the performance of the proposed segmentation method. -
BraTS 2019 training dataset
Multimodal brain tumor segmentation challenge (BraTS) aims to evaluate state-of-the-art methods for the segmentation of brain tumors by providing a 3D MRI dataset with ground... -
Decathlon dataset
A large annotated medical image dataset for the development and evaluation of segmentation algorithms. -
BraTS 2020: self-ensembled, deeply-supervised 3D U-Net CNNs
Brain tumor segmentation is a critical task for patient’s disease management. In order to automate and standardize this task, we trained multiple U-net like neural networks,... -
BraTS 2020
Automatic segmentation of brain tumors is an essential but challenging step for extracting quantitative imaging biomarkers for accurate tumor detection, diagnosis, prognosis,... -
MICCAI BRATS dataset
The MICCAI BRATS dataset is a fully-annotated dataset for brain tumor segmentation. It contains 220 high-grade subjects and 54 low-grade subjects with four modalities: T1, T1c,... -
BraTS 2021
Multi-parametric MRI scans from 2000 patients were used for BraTS2021, 1251 of which were provided with segmentation labels to the participants for developing their algorithms,... -
One-pass multi-task convolutional neural networks for efficient brain tumor s...
One-pass multi-task convolutional neural networks for efficient brain tumor segmentation. -
3D MRI brain tumor segmentation using deep convolutional neural networks
3D MRI brain tumor segmentation using deep convolutional neural networks. -
BraTS Challenge
Identifying the best machine learning algorithms for brain tumor segmentation, progression assessment, and overall survival prediction in the BraTS challenge. -
The multimodal brain tumor image segmentation benchmark (brats)
The multimodal brain tumor image segmentation benchmark (brats). -
BraTS 2019 Dataset
The multi-center BraTS 2019 dataset is used to perform cross-modality image-to-image synthesis and investigate domain adaptation. -
BraTS21 dataset
The BraTS21 dataset consists of 1251 brain MRI scans of four different weightings (T1, T1-CE, T2, FLAIR).
