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Table 4 Spearman coefficients of asymmetry measures with methods: Asymmetry_NEF, Irregularity index reported by Golston et al. [20], Asymmetry index proposed by Smaoui & Bessassi [19], Score For Axis (SFA) reported by Cudek et al. [13] and Asymmetry_Ref proposed by Stoecker et al. [9] using the Lee database with 40 images and 12 images considered high risk

From: Quantitative evaluation of binary digital region asymmetry with application to skin lesion detection

Algorithm

Spearman coefficients

p-value

Asymmetry_NEF (40 images)

0.82

<  0.001

Asymmetry_NEF (12 images)

0.98

<  0.001

Irregularity index (40 images)

0.80

<  0.001

Irregularity index (12 images)

0.77

0.003

Asymmetry index (40 images)

0.89

<  0.001

Asymmetry index (12 images)

0.70

0.012

SFA (40 images)

0.25

0.114

SFA (12 images)

−0.19

0.553

Asymmetry_Ref (40 images)

0.08

0.611

Asymmetry_Ref (40 images)

−0.01

0.974