tkhangg0910/brain_data_split_v0

这是一个医疗影像数据集，专注于痴呆症相关研究。数据集包含患者的医疗影像数据、元数据（如患者ID、医生信息等）以及多语言问答内容。影像数据附带有三种不同类型的标注（GCA、Koedam、MTA），包括边界框坐标和分割掩码。数据集分为训练集（892个样本）和测试集（650个样本），并提供了详细的类别分布统计，包括不同痴呆程度（非痴呆、中度痴呆、轻度痴呆）的样本数量，以及各类标注的分布情况。

This is a medical imaging dataset focused on dementia-related research. The dataset contains patients medical imaging data, metadata (such as patient ID, doctor information, etc.), and multilingual Q&A content. The imaging data comes with three different types of annotations (GCA, Koedam, MTA), including bounding box coordinates and segmentation masks. The dataset is divided into a training set (892 samples) and a test set (650 samples), with detailed statistics on category distribution, including the number of samples for different dementia levels (non-dementia, moderate-dementia, mild-dementia) and the distribution of various annotation types.