Table 5.

Melanoma detection performance using geometry-signal-dependent features of unweighted graphs. The skin lesion feature descriptors include local features (C), global features (G), graph Fourier transform features (GFT), the combination of the three feature types (C+G+GFT) and their combination with conventional features (All)

		GFT	C+G+GFT	GFT+Conv	All
	AC	59.69	58.82	90.66	89.97
SVM	AUC	53.43	59.2	99.13	99.3
(RBF)	SN	36.33	47.75	99.65	100.0
	SP	91.35	73.7	82.01	80.97
	AC	55.54	56.06	78.55	75.09
SVM	AUC	52.44	51.78	87.35	85.96
(Sigmoid)	SN	55.36	61.94	96.54	92.04
	SP	63.67	50.87	67.13	62.98
	AC	51.73	55.88	88.24	92.39
SVM	AUC	52.44	51.78	87.35	85.96
(Poly)	SN	6.92	24.57	95.5	94.81
	SP	99.31	88.24	83.74	91.7
	AC	55.36	53.98	85.47	84.08
KNN	AUC	58.79	56.87	96.29	93.59
	SN	43.25	32.18	99.31	95.16
	SP	73.01	78.89	72.66	76.82
	AC	63.67	58.13	89.97	89.27
MLP	AUC	66.35	59.41	99.51	99.18
	SN	51.56	44.98	100.0	100.0
	SP	77.85	71.28	80.62	80.62
	AC	59.52	56.57	97.4	96.71
RF	AUC	67.91	68.88	99.85	99.78
	SN	31.49	19.03	100.0	100.0
	SP	89.62	94.81	94.81	96.19