9 datasets found

Novel Local Radiomic Bayesian Classifiers for Non-invasive Prediction of MGMT Methylation Status in Glioblastoma

The dataset used in this study is from the Brain Tumor Radiogenomic Classification challenge (Baid et al., 2021) that includes multi-parametric MRI (mpMRI) scans for 585...

The dataset used in this study is from the Brain Tumor Radiogenomic Classification challenge (Baid et al., 2021) that includes multi-parametric MRI (mpMRI) scans for 585...

Automatic segmentation of brain tumors is an essential but challenging step for extracting quantitative imaging biomarkers for accurate tumor detection, diagnosis, prognosis,...

Glioblastoma brain tumor detection and segmentation using preprocessed brain MRI images

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...