Table 2.

Selected features of five selection methods.

DC	RF	LASSO	Xgboost	GBDT
meanValue	meanValue	maxValue	meanValue	HISTO_Kurtosis
HISTO_Kurtosis	HISTO_Kurtosis	HISTO_Skewness	HISTO_Kurtosis	GLRLM_SRHGE
GLZLM_HGZE	PARAMS_YSpatialResampling	SHAPE_Sphericity	GLRLM_HGRE	GLRLM_LRHGE
GLZLM_SZHGE	GLRLM_HGRE	GLRLM_SRLGE	GLRLM_LRHGE	GLZLM_HGZE
GLRLM_HGRE	GLRLM_SRHGE	GLRLM_GLNU		GLZLM_SZHGE
GLRLM_SRHGE	GLRLM_LRHGE	GLRLM_RLNU
GLZLM_SZE	GLZLM_SZE	GLRLM_RP
	GLZLM_HGZE	GLZLM_SZE
	GLZLM_SZHGE	GLZLM_LGZE
		GLZLM_SZLGE
		GLZLM_LZLGE
		GLZLM_GLNU
		GLZLM_ZLNU
		GLZLM_ZP

DC, distance correlation; RF, random forest; LASSO, least absolute shrinkage and selection operator; Xgboost, eXtreme gradient boosting; GBDT, gradient boosting decision tree; GLZLM, gray-level zone length matrix; HGZE, High Grey Level Zone Emphasis; GLRLM, Gray Level Run Length Matrix; SZHGE, Short Zone High Grey Level Emphasis; HGRE, High Gray Level Run Emphasis; SRHGE, Short-Run High Grey Level Emphasis; SZE, Short Zone Emphasis; LRHGE, Long-Run High Grey Level Emphasis; SRLGE, Short-Run Low Grey Level Emphasis; GLNU, Grey Level Non-Uniformity; RLNU, Run Length Non-Uniformity; RP, Run Percentage; LGZE, Low Gray Level Zone Emphasis; SZLGE, Short Zone Low Grey Level Emphasis; LZLGE, Long Zone Low Grey Level Emphasis; ZP, Zone Percentage.