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Table 2 The results of radiomics feature selection based on cross-validation

From: Establishing a radiomics model using contrast-enhanced ultrasound for preoperative prediction of neoplastic gallbladder polyps exceeding 10 mm

Sequence

Feature number

Individual features

US

10

log_sigma_2_0_mm_3D_glcm_Correlation

log_sigma_2_0_mm_3D_gldm_DependenceEntropy

log_sigma_3_0_mm_3D_glrlm_RunEntropy

log_sigma_4_0_mm_3D_glcm_Imc2

original_glszm_SmallAreaLowGrayLevelEmphasis

wavelet_HHH_firstorder_Median

wavelet_HHH_glcm_Autocorrelation

wavelet_HHL_glszm_SmallAreaEmphasis

wavelet_HLL_glszm_ZoneVariance

wavelet_LLL_glszm_LargeAreaHighGrayLevelEmphasis

CEUS

10

log_sigma_2_0_mm_3D_firstorder_RootMeanSquare

log_sigma_4_0_mm_3D_glcm_Imc2

log_sigma_5_0_mm_3D_glcm_DifferenceEntropy

log_sigma_5_0_mm_3D_glrlm_GrayLevelNonUniformityNormalized

wavelet_HLL_firstorder_Mean

wavelet_HLL_glcm_MaximumProbability

wavelet_HLL_glrlm_ShortRunEmphasis_ce

wavelet_LHH_gldm_LargeDependenceHighGrayLevelEmphasis

wavelet_LHL_ngtdm_Contrast

wavelet_LLH_firstorder_InterquartileRange

US + CEUS

10

log_sigma_2_0_mm_3D_glcm_Correlation_tra

log_sigma_4_0_mm_3D_glcm_Imc2_tra

original_glszm_SmallAreaLowGrayLevelEmphasis_tra

wavelet_HHL_glszm_SmallAreaEmphasis_tra

wavelet_LLL_glszm_LargeAreaHighGrayLevelEmphasis_tra

log_sigma_2_0_mm_3D_glcm_Correlation_tra

log_sigma_4_0_mm_3D_glcm_Imc2_tra

original_glszm_SmallAreaLowGrayLevelEmphasis_tra

wavelet_HHL_glszm_SmallAreaEmphasis_tra wavelet_LLL_glszm_LargeAreaHighGrayLevelEmphasis_tra

  1. US = Conventional ultrasound, CEUS = contrast-enhanced ultrasound