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Table 3 Proposed features fusion and selection results on PH2 dataset

From: An implementation of normal distribution based segmentation and entropy controlled features selection for skin lesion detection and classification

Method Execution time /sec Sensitivity (%) Precision (%) Specificity (%) FNR (%) FPR Accuracy (%)
DT 7 88.33 88.73 92.50 10.0 0.04 90.0
QDA 2 90.83 89.40 91.20 9.0 0.04 91.0
Q-SVM 2 95.83 96.60 98.70 3.0 0.01 97.0
LR 6 92.10 92.76 96.96 6.0 0.02 94.0
N-B 3 89.60 91.73 96.90 7.5 0.03 92.5
W-KNN 2 91.67 92.33 96.20 6.5 0.02 93.5
EBT 5 95.43 96.67 98.12 3.5 0.02 96.5
ESD 10 94.20 94.53 97.50 4.5 0.02 95.5
C-KNN 2 91.26 91.56 95.61 7.0 0.03 93.0
Multi-class SVM 1 96.67 97.06 98.74 2.5 0.01 97.5
  1. Data in bold are significant