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

Table 3.

Melanoma detection performance using graph-signal-independent features of unweighted graphs. The skin lesion feature descriptors depend only on the graph structure and include local features (C), global features (G), local and global features (C+G) and their combination with conventional features (C+G+Conv)

C G C+G C+G+Conv
AC 59.0 53.81 65.4 89.62
SVM AUC 59.73 57.62 69.06 98.88
(RBF) SN 53.63 43.6 65.4 100.0
SP 68.86 68.51 71.28 81.66
AC 55.71 59.0 59.86 71.11
SVM AUC 51.72 54.56 49.58 79.33
(Sigmoid) SN 64.36 59.52 68.86 83.04
SP 56.4 74.05 52.25 62.28
AC 55.88 50.17 55.36 93.25
SVM AUC 51.72 54.56 49.58 79.33
(Poly) SN 31.83 5.19 34.26 96.54
SP 82.01 99.31 83.04 92.04
AC 55.71 53.63 57.79 86.33
KNN AUC 54.92 54.71 59.22 94.16
SN 44.29 52.6 46.02 98.27
SP 71.97 62.63 73.01 77.16
AC 59.0 56.92 60.9 89.97
MLP AUC 59.25 57.93 61.75 99.16
SN 59.52 51.56 58.13 99.31
SP 63.32 64.36 66.09 81.66
AC 52.94 52.77 52.42 97.23
RF AUC 61.37 53.2 63.69 99.79
SN 8.304 27.34 8.304 100.0
SP 98.96 79.93 97.58 95.5