Table 3 Radiomic features selected and their coefficients
From: Prediction of malignant esophageal fistula in esophageal cancer using a radiomics-clinical nomogram
Radiomic features | Coefficient |
|---|---|
“original_gldm_DependenceEntropy” | 0.295 |
“wavelet.LLH_firstorder_Mean” | − 0.873 |
“wavelet.LLH_firstorder_Skewness” | − 0.019 |
“wavelet.LHH_firstorder_Skewness” | 0.327 |
“wavelet.LHH_glcm_Idn” | 0.727 |
“wavelet.HLL_firstorder_Skewness” | 1.027 |
“wavelet.LLL_firstorder_Maximum” | 0.750 |
“wavelet.LLL_firstorder_Range” | 0.171 |
“wavelet.LLL_glszm_GrayLevelNonUniformityNormalized” | − 0.263 |
“wavelet.LLL_glszm_ZoneEntropy” | 0.302 |