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. 2014 Sep 24;9(9):e108465. doi: 10.1371/journal.pone.0108465

Table 2. The performance of each kind of textural features.

Textural features Sensitivity Specificity Youden AUC Accuracy Precision F
Correlation 0.69 0.55 0.24 0.63 0.65 0.82 0.75
Cluster tendency 0.81 0.29 0.10 0.53* 0.68 0.77 0.79
Difference-entropy 0.63 0.52 0.15 0.58 0.60 0.80 0.70
Difference-mean 0.67 0.48 0.15 0.57 0.63 0.79 0.73
Energy 0.81 0.38 0.19 0.60 0.70 0.80 0.80
Entropy 0.66 0.55 0.21 0.62 0.63 0.81 0.73
Homogeneity 0.73 0.45 0.18 0.59 0.66 0.80 0.76
IDM 0.66 0.54 0.19 0.60 0.63 0.81 0.73
Inertia 0.67 0.57 0.24 0.63 0.65 0.82 0.74
Mean 0.68 0.43 0.11 0.53* 0.62 0.78 0.73
MP 0.68 0.54 0.21 0.61 0.64 0.81 0.74
SD 0.53 0.62 0.15 0.59 0.55 0.81 0.64
Sum-mean 0.82 0.29 0.10 0.52* 0.68 0.77 0.80
Sum-entropy 0.58 0.62 0.19 0.63 0.59 0.82 0.68

Abbreviation used: AUC, the least area under the curve; IDM, Inverse difference moment; MP, Maximum probability; SD, Standard deviation; F, F_measure;

*P>0.05.