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. 2021 Jul 9;3(4):e210010. doi: 10.1148/rycan.2021210010

Figure 3:

Radiomic features selected in the trained XGBoost models for patch-based analysis. Features are ranked in descending order of gain value. Features selected by both models are connected. GLCM = gray-level co-occurrence matrix, GLDM = gray-level dependence matrix, GLRLM = gray-level run-length matrix, GLSZM = gray-level size-zone matrix, IMC2 = information measure of correlation 2, NGTDM = neighboring gray-tone difference matrix.

Radiomic features selected in the trained XGBoost models for patch-based analysis. Features are ranked in descending order of gain value. Features selected by both models are connected. GLCM = gray-level co-occurrence matrix, GLDM = gray-level dependence matrix, GLRLM = gray-level run-length matrix, GLSZM = gray-level size-zone matrix, IMC2 = information measure of correlation 2, NGTDM = neighboring gray-tone difference matrix.