T2-weighted imaging-based radiomic-clinical machine learning model for predicting the differentiation of colorectal adenocarcinoma

Figure 3 Distribution of radiomic features. A: The number and proportion of extracted radiomic features; B: Violin plots showing all features and corresponding P values, which help us observe the centralized trend and dispersion of the data. GLCM: Grayscale co-occurrence matrix; GLRLM: Grayscale run length matrix; GLSZM: Grayscale size region matrix, NGTDM: Neighbourhood grayscale difference matrix; GLDM: Grayscale dependency matrix.