Table 1.

Area under ROC curve values for fusion images I₁, I₂ and I₃ for series S₁,...,S₆ based on KPCA, PCA and PCA trained with the same reduced training set as KPCA. For each AUC value, the pixel intensities of the fusion images are interpreted as confidence values indicating the existence of suspicious signals at the corresponding positions. The largest AUC value for each case is printed bold.

	Area-Under-ROC-Curve
	KPCA			PCA			PCA (reduced set)
Sequence	I1	I2	I3	I1	I2	I3	I1	I2	I3
S1	0.950	0.972	0.879	0.539	0.993	0.633	0.772	0.972	0.692
S2	0.918	0.945	0.728	0.727	0.993	0.712	0.852	0.948	0.547
S3	0.995	0.998	0.710	0.520	0.997	0.926	0.799	0.997	0.747
S4	0.996	0.985	0.259	0.926	0.999	0.919	0.992	0.985	0.963
S5	0.959	0.966	0.904	0.693	0.997	0.925	0.814	0.964	0.344
S6	0.994	0.986	0.706	0.926	0.999	0.919	0.785	0.986	0.802