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BraTS 2018 Training Dataset
The BraTS 2018 training dataset included 285 cases (210 HGG and 75 LGG), each with four 3D MRI modalities (T1, T1c, T2 and FLAIR) rigidly aligned, resampled to 1x1x1 mm... -
3D MRI brain tumor segmentation using autoencoder regularization
Automated segmentation of 3D brain tumors from 3D magnetic resonance images (MRIs) is necessary for the diagnosis, monitoring, and treatment planning of the disease. -
rs-fMRI data from 56 brain tumor patients
rs-fMRI data from 56 brain tumor patients who underwent preoperative mapping at our institution. -
TCGA-GBM and TCGA-LGG datasets
The dataset used in this study for prognostic stratification of glioblastoma patients based on computational AI-based algorithms. The dataset consists of whole slide images (WSI)... -
BraTS 2021 Benchmark on Brain Tumor Segmentation and Radiogenomic Classification
Novel Local Radiomic Bayesian Classifiers for Non-invasive Prediction of MGMT Methylation Status in Glioblastoma -
Brain tumor classification using deep learning
Brain tumors present a grave risk to human life, demanding precise and timely diagnosis for effective treatment. Inaccurate identification of brain tumors can significantly... -
Multimodal Brain Tumor Segmentation Challenge 2020
The Multimodal Brain Tumor Segmentation Challenge 2020 dataset was used as our primary dataset for brain tumor classification and segmentation. -
Brain Tumor Dataset
Brain tumor MRI dataset used for classification of brain tumors into Meningioma, Glioma, and Pituitary tumor -
BraTS 2021 dataset
The Brain Tumor Segmentation (BraTS) Challenge 2021 dataset, which provides a valuable resource for addressing challenges specific to resource-limited settings, particularly the... -
BraTS 2020 Challenge
The BraTS 2020 challenge dataset is a multimodal MRI brain tumor segmentation dataset. It contains 369 subjects with 4 MRI modalities (T2 weighted FLAIR, T1 weighted, T1... -
BraTS 2020
Automatic segmentation of brain tumors is an essential but challenging step for extracting quantitative imaging biomarkers for accurate tumor detection, diagnosis, prognosis,... -
Brain tumour MRI segmentation dataset
Brain tumour MRI segmentation dataset -
BRATS 2018
Brain tumor segmentation dataset -
BRATS 2017
Brain tumor segmentation dataset -
BRATS 2015
Brain tumor segmentation dataset -
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,... -
BraTS 2020 dataset
The dataset contains 293 HGG and 76 LGG pre-operative scans in four MRI modalities, which are T1, T2, T1c and FLAIR. -
The multimodal brain tumor image segmentation benchmark (brats)
The multimodal brain tumor image segmentation benchmark (brats).