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. 2020 Oct 1;2020:5894010. doi: 10.1155/2020/5894010

Table 2.

The classification results based on the methods of single features with single classifier.

Method Evaluation (%)
Feature Classifier Accuracy Sensitivity Specificity
LBP SVM [17] 85.56 86.79 83.78
KNN [25] 84.44 84.91 83.78
DT [26] 66.33 58.49 81.08
LDA [27] 74.44 77.36 70.27

HOG SVM [17] 81.11 84.91 75.68
KNN [25] 61.11 100.00 5.41
DT [26] 67.78 67.92 67.57
LDA [27] 70.00 75.47 62.16

GLCM SVM [17] 78.89 92.45 59.46
KNN [25] 65.56 75.47 51.35
DT [26] 71.11 77.36 62.16
LDA [27] 74.44 84.91 59.46

LBP+HOG+GLCM SVM [17] 86.67 92.45 78.38
KNN [25] 64.44 100.00 13.51
DT [26] 72.22 73.58 70.27
LDA [27] 75.56 84.91 62.16

Morphological SVM [17] 75.56 67.92 86.49
NB [18] 81.11 69.81 97.30
LDA [26] 75.56 60.38 97.30