Table 2.

Values of three selected features calculated from the results generated by two segmentation models.

Feature	Segmentation method	Feature values		t-test $p$-valuesa
		Benign cases $N=49$	Malignant cases $N=80$
Irregularity1	GAC	$0.16\pm 0.05$	$0.16\pm 0.05$	0.45
	GLAC	$0.17\pm 0.06$	$0.19\pm 0.05$	0.07
Irregularity2	GAC	$0.56\pm 0.06$	$0.58\pm 0.06$	0.07
	GLAC	$0.53\pm 0.07$	$0.57\pm 0.06$	$\ll 0.05$
Spiculation index	GAC	$3.74\pm 2.84$	$4.56\pm 3.74$	0.20
	GLAC	$4.83\pm 3.34$	$6.96\pm 3.93$	0.02

^a$p$-values represent the comparison of feature values between the two segmentation models.