Table 2: Combined classification of the feature groups and different classification methods. Abbreviations: linear discriminant analysis (LDA), naive Bayes linear discriminant analysis (N.B.LDA), quadratic discriminant analysis (QDA), naive Bayes quadratic discriminant analysis (N.B.QDA), and Fisher’s linear discriminant (FLDA).

FeaturesCorrectly classified (%)

Contour features64.574.267.777.464.5
Scaling index features67.771.061.351.667.7
Tumor RSIE features64.574.274.277.464.5
Contour RSIE features64.574.254.854.864.5
Geometric moments51.654.851.664.551.6
Krawtchouk moments71.074.277.4 71.074.2