Table 3.

Performance of 18 single feature-based correspondence metrics obtained from radiologist-outlined (AUC_R) and computer-segmented (AUC_C) lesions, respectively. The value after “±” is the standard error (se) associated with each AUC. The two-tailed p-value and 95% C.I. of ΔAUC were calculated by ROCKIT. The “Sig. level” column represents the significance level of individual tests adjusted with Holm t test (overall significant level α^T=0.05) and the tests with asterisks ( ^*) indicate significant difference using the adjusted significance level. The features have the same convention as Table 2.

Feature	AUCR±se	AUCC±se	p value	Sig. level	95% C.I. of ΔAUC
FI,1	0.65±0.03	0.56±0.03	0.04	0.0045	[0.004, 0.20]
FI,2	0.53±0.03	0.54±0.03	0.76	—	[−0.07,0.05]
$F_{\mathit{I},3}^{*}$	0.78±0.03	0.66±0.03	0.001	0.0031	[0.05, 0.19]
FII,1	0.71±0.03	0.65±0.03	0.06	—	[−0.01,0.13]
FII,2	0.68±0.03	0.67±0.03	0.66	—	[−0.05,0.09]
FII,3	0.69±0.03	0.67±0.03	0.48	—	[−0.04,0.09]
FII,4	0.70±0.03	0.66±0.03	0.20	—	[−0.02,0.11]
FII,5	0.57±0.03	0.54±0.03	0.30	—	[−0.03,0.10]
FII,6	0.61±0.03	0.56±0.03	0.01	0.0042	[0.01, 0.10]
FII,7	0.61±0.03	0.53±0.03	0.009	0.0038	[0.02, 0.15]
FII,8	0.58±0.03	0.56±0.03	0.44	—	[−0.03,0.07]
$F_{\mathit{II},9}^{*}$	0.69±0.03	0.61±0.03	0.002	0.0036	[0.03, 0.14]
$F_{\mathit{II},10}^{*}$	0.65±0.03	0.57±0.03	4×10−4	0.0029	[0.04, 0.13]
$F_{\mathit{II},11}^{*}$	0.66±0.03	0.55±0.03	<10−5	0.0028	[0.06, 0.15]
FII,12	0.62±0.03	0.59±0.03	0.34	—	[−0.03,0.09]
FII,13	0.58±0.03	0.57±0.03	0.90	—	[−0.05,0.05]
$F_{\mathit{II},14}^{*}$	0.59±0.03	0.50±0.03	0.001	0.0031	[0.05, 0.18]
FIII,1	0.81±0.02	0.81±0.02	0.73	—	[−0.01,0.01]