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Table 3 Twelve radiomics features and their correlation coefficients

From: Predicting preoperative muscle invasion status for bladder cancer using computed tomography-based radiomics nomogram

Correlation coefficient

Features

−0.52898

original_shape_Sphericity

−0.1289

wavelet.HHL_ngtdm_Strength

−0.08837

wavelet.HHL_glszm_ZonePercentage

−0.07887

wavelet.LHH_glszm_LargeAreaEmphasis

−0.02766

wavelet.HHH_gldm_SmallDependenceLowGrayLevelEmphasis

−0.0197

wavelet.HHL_gldm_DependenceVariance

0.011777

original_gldm_LargeDependenceHighGrayLevelEmphasis

0.133743

original_shape_Elongation

0.153407

wavelet.LLL_glcm_MCC

0.16902

original_shape_LeastAxisLength

0.349792

wavelet.HLL_glcm_Correlation

0.413107

wavelet.HLH_ngtdm_Busyness