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. 2021 Jan 7;34(1):162–181. doi: 10.1007/s10278-020-00401-6

Table 4.

Melanoma detection performance using color-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 50.52 60.73 89.62 88.93
SVM AUC 53.96 63.95 99.03 98.31
(RBF) SN 50.17 56.75 99.65 100.0
SP 54.67 65.4 81.31 79.93
AC 52.08 55.54 77.34 77.68
SVM AUC 54.54 49.99 89.21 87.13
(Sigmoid) SN 57.09 62.63 93.43 91.7
SP 51.21 54.67 66.44 63.67
AC 52.25 58.13 91.18 92.73
SVM AUC 54.54 49.99 89.21 87.13
(Poly) SN 18.69 29.76 98.62 95.5
SP 95.5 88.93 85.47 92.04
AC 51.73 56.4 84.26 86.51
KNN AUC 49.61 57.9 96.74 94.58
SN 40.48 44.98 100.0 98.27
SP 63.67 71.28 68.51 76.82
AC 50.69 60.38 89.79 89.79
MLP AUC 53.31 63.22 99.3 98.84
SN 47.75 57.09 100.0 100.0
SP 58.48 68.51 80.97 81.66
AC 50.35 52.08 97.58 96.89
RF AUC 53.85 62.94 99.92 99.71
SN 4.498 5.882 100.0 100.0
SP 98.62 99.65 95.16 94.81