Table 2.

Segmentation results for contrast-enhanced and noncontrast-enhanced bCT.

		Segmentation model	Performance in DICE ($\text{mean}\pm \mathrm{std}$)	Percentage of $\ge 0.7$ DICE (%)	$p$-value of paired t-test between the two models
Contrast-enhanced bCT	Benign cases ($N=13$)	Previous model	$0.81\pm 0.07$	93	0.24
		Proposed model	$0.84\pm 0.09$	93
	Malignant cases ($N=25$)	Previous model	$0.80\pm 0.11$	88	0.65
		Proposed model	$0.81\pm 0.08$	92
	All cases ($N=38$)	Previous model	$0.80\pm 0.10$	90	0.30
		Proposed model	$0.82\pm 0.10$	93
Noncontrast bCT	Benign cases ($N=49$)	Previous model	$0.80\pm 0.10$	89	0.005
		Proposed model	$0.83\pm 0.08$	96
	Malignant cases ($N=80$)	Previous Model	$0.76\pm 0.10$	73	0.04
		Proposed model	$0.78\pm 0.12$	85
	All cases ($N=129$)	Previous model	$0.77\pm 0.10$	79	0.0016
		Proposed model	$0.80\pm 0.11$	89