Table 2.

Classification performance of classifiers trained on CNN features extracted from three types of ROIs in the task of distinguishing malignant and benign lesions. $P$-values are computed with respect to MIP classifiers and are corrected for multiple comparisons with Bonferroni–Holm corrections.

ROI type	AUC	$p$-value
Central slice of second postcontrast	0.80 ($\mathrm{se}=0.02$)	0.00058
Central slice of second postcontrast subtracted	0.83 ($\mathrm{se}=0.02$)	0.048
MIP	0.88 ($\mathrm{se}=0.01$)	—