Wavelet Transform Fuzzy Algorithms for Dermoscopic Image Segmentation

Table 4

AUC simulation results using different segmentation algorithms.

	Lesion 1	Lesion 2	Lesion 3	Lesion 4	Lesion 5		Lesion 1	Lesion 2	Lesion 3	Lesion 4	Lesion 5
Without wavelet						WAF Up2
CPSFCM	0.954	0.915	0.530	0.914	0.946	W-CSPFCM	0.798	0.787	0.886	0.906	0.921
FCM	0.967	0.936	0.955	0.954	0.960	W-FCM	0.826	0.929	0.901	0.935	0.913
K-Means	0.969	0.935	0.955	0.952	0.959	WK-Means	0.858	0.957	0.922	0.950	0.925
SRM	0.856	0.930	0.877	0.929	0.801
WF Coiflets 3						WAF 𝜋6
W-CSPFCM	0.851	0.841	0.923	0.948	0.932	W-CSPFCM	0.832	0.956	0.887	0.929	0.943
W-FCM	0.966	0.948	0.956	0.961	0.963	W-FCM	0.874	0.953	0.926	0.953	0.931
WK-Means	0.871	0.959	0.928	0.953	0.928	WK-Means	0.898	0.961	0.941	0.965	0.934
WF Daubechies 4						WAF fup2
W-CSPFCM	0.886	0.956	0.961	0.958	0.961	W-CSPFCM	0.811	0.758	0.868	0.914	0.936
W-FCM	0.969	0.945	0.957	0.959	0.970	W-FCM	0.846	0.940	0.911	0.943	0.920
WK-Means	0.874	0.964	0.937	0.960	0.939	WK-Means	0.878	0.960	0.931	0.957	0.931
WF Biorthogonal 6.8						WAF 𝑒2
W-CSPFCM	0.878	0.939	0.913	0.955	0.947	W-CSPFCM	0.811	0.763	0.870	0.911	0.935
W-FCM	0.966	0.949	0.956	0.962	0.964	W-FCM	0.844	0.939	0.910	0.942	0.919
WK-Means	0.869	0.958	0.927	0.953	0.928	WK-Means	0.875	0.960	0.929	0.959	0.932