Table 1.

Summary of feature groups in proposed Radiomics-Driven Statistical Textural Distinctiveness (RD-STD) [14]

Feature group	Number of features	Description
Textural (1st-order)	4	Mean, Standard deviation, Kurtosis, Skewness
		Energy, contrast, correlation, variance, inverse difference moment normalized,
Textural (2nd-order)	72	Sum average, sum variance, entropy, sum entropy, difference entropy,
	(18 in each of 4 directions)	Information measure of correlation, homogeneity, autocorrelation
		Difference variance, dissimilarity, cluster shade, cluster prominence, maximum probability
Gabor filters	12	3 scales and 4 orientations
Kirsch filters	8	8 directions
Total	96	All features