39 datasets found

The multimodal brain tumor image segmentation benchmark (brats).

Automated tumor segmentation is crucial for surgical planning, treatment assessment, and long-term monitoring of pediatric brain tumors.

The BraTS2020 dataset is a widely-used benchmark for brain tumor segmentation. It contains 369 glioma patient samples with two glioma grades (LGG and HGG).

The TCIA-Glioma dataset is a multi-modal MRI scans dataset for brain tumor segmentation.

The rsna-asnr-miccai brats 2021 benchmark dataset is a multi-modal MRI scans dataset for brain tumor segmentation.

Anomaly detection is the process of identifying atypical data samples that significantly deviate from the majority of the dataset. In the realm of clinical screening and...

The multi-center BraTS 2019 dataset is used to perform cross-modality image-to-image synthesis and investigate domain adaptation.

The BraTS2021 dataset is an important resource in the field of brain tumor segmentation, consisting of multi-modal magnetic resonance imaging (MRI) data, including four imaging...

The CBICA database is a database with 88 subjects with glioblastoma or low-grade gliomas.

The dataset used in the paper is a collection of medical images of patients diagnosed with glioblastoma multiforme, which is a type of brain cancer.

The BraTS2013 database is a database with 30 subjects with glioblastoma or low-grade gliomas.

The BraTS2018 database is a continually evolving database with a total of 285 glioblastoma or low-grade gliomas subjects, comprising three consecutive subsets, i.e., 30 subjects...

The 2021 Multimodal Brain Tumor Segmentation Challenge (BraTS21) dataset

The BRATS 2018, 2019 and 2020 datasets are used for training and evaluation of the proposed 3D UNet model for brain tumor segmentation.

Multimodal Brain Tumor Image Segmentation Challenge (BraTS) 2018 dataset used for brain tumor segmentation and overall survival prediction.

The BRATS18 multi-modal brain tumor dataset is used for training and testing the proposed TC-MGAN model.

The BraTS21 dataset consists of 1251 brain MRI scans of four different weightings (T1, T1-CE, T2, FLAIR).

Brain Tumor Segmentation dataset contains images of brain tumors from MRI scans. The dataset is used for automatic segmentation of brain tumors.

The Brain Tumor Segmentation (BraTS) 2019 dataset provides 335 training subjects, 125 validation subjects and 167 testing ones, each with four MRI modality sequences (T1, T1ce,...