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. 2021 Jul 29;11(8):1366. doi: 10.3390/diagnostics11081366

Table 6.

Quantitative evaluation on a subset of ISIC dataset (benign).

Methods Med-Sensitivity (%) Med-Specificity (%) Med-Accuracy (%) Med-Jaccard-Index (Ji) Med-Dice-Coefficient (Dc)
CV_LS [67] 75.26 82.29 79.88 0.48 0.65
MORPH_CV_LS [10] 76.92 100.00 93.68 0.75 0.85
MORPH_GAC_LS [10] 93.66 0.51 61.63 0.40 0.55
ADAPTIVE_THRESH [68] 97.95 0.67 25.39 0.25 0.39
ISODATA_THRESH [69] 24.07 0.22 7.33 0.06 0.11
MEAN_THRESH [70] 6.00 7.25 9.08 0.02 0.03
TRIANGLE_THRESH [71] 9.53 1.89 4.82 0.02 0.05
OTSU_THRESH [72] 23.72 0.23 7.32 0.06 0.11
SALIENCY_MAP [55] 75.37 89.94 81.10 0.48 0.65
SRM_OBJ [53] 79.05 99.96 93.04 0.73 0.84
EGBS_OBJ [52] 80.61 99.62 83.91 0.43 0.61
SLIC_CLUST [66] 19.70 0.35 6.76 0.05 0.10
GASISUK (Proposed) 80.68 100.00 95.17 0.80 0.89