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Table 2 Selected optimal features in radiomics

From: A virtual biopsy study of microsatellite instability in gastric cancer based on deep learning radiomics

 

Features

Mean

SD

F1

original_shape_MajorAxisLength

0.344

0.186

F2

original_firstorder_90Percentile

0.337

0.165

F3

log.sigma.3.0.mm.3D_firstorder_Skewness

0.546

0.187

F4

wavelet.LLH_firstorder_Median

0.851

0.115

F5

wavelet.LLH_gldm_LowGrayLevelEmphasis

0.076

0.130

F6

wavelet.LHL_firstorder_Median

0.962

0.078

F7

wavelet.LHL_glszm_LargeAreaLowGrayLevelEmphasis

0.051

0.112

F8

wavelet.LHH_glcm_Imc2

0.299

0.145

F9

wavelet.LHH_glrlm_RunEntropy

0.526

0.130

F10

wavelet.HLL_firstorder_Range

0.198

0.133

F11

wavelet.HLL_glcm_ClusterProminence

0.047

0.116

F12

wavelet.HLL_glszm_SizeZoneNonUniformity

0.187

0.145

F13

wavelet.HLL_glszm_SmallAreaEmphasis

0.527

0.149

F14

wavelet.HHL_firstorder_Kurtosis

0.099

0.151

F15

wavelet.HHL_gldm_DependenceNonUniformityNormalized

0.197

0.152