ykeselman/lidc-idri-patches

该数据集包含医学图像数据，主要用于肺部疾病的分析和诊断。数据集的特征包括钙化类型、内部结构、分叶情况、恶性程度、边缘特征等分类标签，以及患者的唯一标识符和图像数据。这些特征表明数据集可能用于肺部结节的分类和诊断。

This dataset contains medical imaging data, primarily used for the analysis and diagnosis of lung diseases. The features of the dataset include classification labels such as calcification type, internal structure, lobulation, malignancy, and margin characteristics, as well as unique patient identifiers and image data. These features suggest that the dataset may be used for the classification and diagnosis of lung nodules.