BRATS 2017 Training set

该数据集是BRATS 2017的训练集，包含了术前MRI扫描数据，这些数据根据肿瘤等级被分为高等级胶质瘤（HGG）和低等级胶质瘤（LGG），总计285名受试者。每位受试者都有4种MRI序列（T1、T1c、T2、FLAIR），分辨率为1毫米等向性。数据集被划分为训练集、验证集和测试集，同时保持了肿瘤等级的比例。规模上，数据集包含285名受试者（210名HGG，75名LGG）。该任务的目的是从MRI数据中进行肿瘤分级。

This dataset is the training set of BRATS 2017, containing preoperative MRI scan data. These data are categorized into High-Grade Glioma (HGG) and Low-Grade Glioma (LGG) based on tumor grade, with a total of 285 subjects. Each subject has four MRI sequences: T1, T1c, T2 and FLAIR, with 1-millimeter isotropic resolution. The BRATS 2017 dataset is split into training, validation and test sets while maintaining the proportional distribution of tumor grades. In terms of scale, this training set includes 285 subjects (210 HGG cases and 75 LGG cases). The objective of this task is tumor grading from MRI data.