nafy123/xray-dataset-small

这是一个医学影像数据集，包含胸部X光图像，用于多标签分类任务。数据集包括260个样本，分为训练集（200个样本）、验证集（30个样本）和测试集（30个样本）。每个样本由一个图像特征和14个医学标签组成，标签包括Atelectasis（肺不张）、Cardiomegaly（心脏肥大）、Effusion（胸腔积液）、Infiltration（浸润）、Mass（肿块）、Nodule（结节）、Pneumonia（肺炎）、Pneumothorax（气胸）、Consolidation（实变）、Edema（水肿）、Emphysema（肺气肿）、Fibrosis（纤维化）、Pleural_Thickening（胸膜增厚）和Hernia（疝气）。这些标签以int64类型表示，可能指示疾病的存在与否（例如0或1）。数据集总大小为约8.14 MB，适用于医学图像分析和疾病检测研究。

This is a medical imaging dataset containing chest X-ray images for multi-label classification tasks. The dataset includes 260 samples, divided into a training set (200 samples), a validation set (30 samples), and a test set (30 samples). Each sample consists of an image feature and 14 medical labels, including Atelectasis, Cardiomegaly, Effusion, Infiltration, Mass, Nodule, Pneumonia, Pneumothorax, Consolidation, Edema, Emphysema, Fibrosis, Pleural_Thickening, and Hernia. These labels are represented as int64, likely indicating the presence or absence of diseases (e.g., 0 or 1). The total dataset size is approximately 8.14 MB, suitable for medical image analysis and disease detection research.