一阶统计特征(最大值、最小值、均值、范围等),反映肿瘤内灰度强度的分布，肿瘤内的异质性。First-order statistical features(maximum, minimum, mean, range, etc.), reflecting the distribution of gray intensity within the tumor, and the heterogeneity within the tumor.
形状大小特征(肿瘤的长径、体积和表面积等)，反映肿瘤的形态、大小和规则度等信息。Shape and size characteristics (length-diameter, volume and surface area of the tumor, etc.), reflecting information on the morphology, size and regularity ofthe tumor
纹理特征主要通过灰度相关矩阵、邻域灰度差分矩阵等获得，用于量化肿瘤内部的纹理模式或组织分布等难以被视觉简单感知的信息。Texture features are mainly obtained by gray correlation matrix,neighborhood gray difference matrix, etc., and are used to quantifyinformation that is difficult to be perceived simply by vision, suchas texture patterns or tissue distribution inside the tumor.
小波特征能够得到多频域多尺度的影像信息，对于难以用简单的肿瘤影像视觉特征进行描述的临床问题Wavelet features can obtain multi-frequency domain and multi-scale image information for clinical problems that are difficult to describe with simple visual features of tumor images
