Table 7.

Melanoma detection performance using color-based weighted graph features. The skin lesion feature descriptors include local features (C), global features (G), local and global features (C+G), graph Fourier transform features (GFT), local, global and GFT features (C+G+GFT), local, global and conventional features (C+G+Conv), GFT and conventional features (GFT+Conv) and the combination of all features (All). The performance metrics for each classifier are the accuracy (AC), specificity (SP) and sensitivity (SN)

		C	G	C+G	GFT	C+G+GFT	C+G+Conv	GFT+Conv	All
	AC	61.25	59.0	59.69	52.6	58.65	90.83	90.83	89.45
SVM	AUC	62.11	62.44	64.02	56.81	61.84	99.21	98.94	98.95
(RBF)	SN	63.32	53.63	56.4	56.4	56.75	100.0	100.0	100.0
	SP	59.86	65.4	64.71	58.48	64.71	82.35	82.01	79.58
	AC	59.52	59.52	58.48	52.08	59.69	77.68	78.89	75.61
SVM	AUC	52.45	62.38	47.65	53.1	46.06	87.95	86.54	86.66
(Sigmoid)	SN	70.59	50.52	68.17	57.44	69.55	95.16	92.73	95.85
	SP	52.94	68.86	55.36	54.67	56.06	66.44	66.09	61.94
	AC	52.25	50.0	52.94	50.35	51.9	94.46	89.97	94.29
SVM	AUC	52.45	62.38	47.65	53.1	46.06	87.95	86.54	86.66
(Poly)	SN	11.76	1.73	15.22	17.65	8.651	96.19	96.54	95.5
	SP	93.08	100.0	93.43	94.12	96.19	93.08	85.47	94.46
	AC	57.61	54.84	57.61	58.65	57.44	86.51	83.74	87.02
KNN	AUC	60.49	56.66	60.48	59.14	59.62	96.55	96.62	96.29
	SN	46.71	52.25	50.52	53.63	50.52	98.27	99.31	99.31
	SP	75.09	61.25	71.28	65.05	72.32	74.74	69.9	77.16
	AC	57.79	60.38	59.17	52.94	59.69	90.83	89.27	89.79
MLP	AUC	60.24	62.32	63.99	54.39	57.59	98.89	99.29	98.85
	SN	57.44	58.82	49.13	47.4	52.6	100.0	100.0	100.0
	SP	64.36	63.67	69.55	58.82	67.82	83.74	78.89	81.66
	AC	50.87	54.15	51.38	50.35	51.56	98.27	97.4	97.58
RF	AUC	61.82	60.52	64.54	55.97	63.82	99.86	99.89	99.8
	SN	2.076	26.99	3.46	3.114	3.46	99.65	100.0	98.96
	SP	100.0	85.12	100.0	99.31	100.0	97.58	96.19	96.89