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. 2019 Aug;31(4):641–652. doi: 10.21147/j.issn.1000-9604.2019.04.08

2.

Radiomics features selected in LASSO regression analysis

Intercept and radiomics features Coefficients
Thirteen radiomics features with non-zero coefficients in the least absolute shrinkage and selection operator method (LASSO) logistic regression model were selected. The radiomics signature was constructed based on the regression analysis with a radiomics score calculated for each patient. The formula to calculate the score of radiomics signature is Score = Intercept + Coefficient × Radiomics features. The details of radiomics features were described in Supplementary Table S1 .
Intercept −0.893
Contrast_135_1_0 0.099
Contrast_90_2_0 0.011
Correlation_45_3_0 −0.178
Homogeneity_135_2_0 0.241
Homogeneity_90_3_0 0.076
Gln_45_0 −0.145
His_10_Mean_0 0.075
Entropy_0_3_1.0 −0.007
His_25_SD_1.0 −0.060
Correlation_0_1_1.5 −0.186
Entropy_0_3_1.5 −0.015
His_10_SD_2.0 0.091
Gabor_2_4 −0.095