. 2018 Apr;10(4):2256–2267. doi: 10.21037/jtd.2018.03.123

Table 3. The features obtained from preprocessing.

Feature type	T2W	SPAIR-T2W
Histogram-based	IH_IQR, IH_Kurtosis, IH_Skewness, GH_MAD_2, GH_Skewness	IH_Kurtosis, IH_MAD_1, IH_Skewness, GH_IQR, GH_Skewness
Texture-based	GLCM_CS_90°	GLCM_CS_135°
	GLCM_Contrast_0°/90°	GLCM_Contrast_{45°/90°/135°}
	GLCM_Correlation_{0°/45°/90°/135°}	GLCM_Correlation_{mean/0°/45°/135°}
	GLCM_IDM_90°	GLCM_IDM _{mean/0°/45°/90°}
	GLCM_IV_135°	GLCM_IV_{0°/45°/90°/135°}
	GLRLM_GLN_90°	GLRLM_LRE_0°/90°
	GLRLM_LRE_0°/90°	GLRLM_LRHGE_90°
	GLRLM_LRHGE_0°	GLRLM_LRLGE_0°
	GLRLM_LRLGE_0°	NIDM_Busyness
	GLRLM_SRLGE_90°	NIDM_Coarseness
	NIDM_Busyness	NIDM_Complexity
	NIDM_Coarseness	NIDM_Contrast
	NIDM_Complexity	NIDM_TS
	NIDM_Contrast
	NIDM_TS
Transform-based	Gabor_MSA-14, -18, -21, -22, -26, -44, -51, -55	Gabor_MSE-11, -14, -18, -21, -22, -25, -26, -33, -57
Transform-based	Gabor_MSE-11, -13, -14, -18, -21, -22, -26, -33, -38, -45, -51, -52, -56, -58	Gabor_MSE-11, -14, -18, -21, -22, -25, -26, -33, -57