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).

Features Correctly classified (%) LDA N.B.LDA QDA N.B.QDA FLDA Contour features 64.5 74.2 67.7 77.4 64.5 Scaling index features 67.7 71.0 61.3 51.6 67.7 Tumor RSIE features 64.5 74.2 74.2 77.4 64.5 Contour RSIE features 64.5 74.2 54.8 54.8 64.5 Geometric moments 51.6 54.8 51.6 64.5 51.6 Krawtchouk moments 71.0 74.2 77.4 71.0 74.2