Research Article
Multi-Features-Based Automated Breast Tumor Diagnosis Using Ultrasound Image and Support Vector Machine
Table 4
The comparison of classification using different numbers of DLF and CF (CFs—characteristic features; DLFs—deep learning features).
| Classification models | Accuracy | Sensitivity | Specificity | F1-score |
| 2 DLF + CF + SVM | 0.875 | 0.895 | 0.85 | 0.872 | 4 DLF + CF + SVM | 0.925 | 0.905 | 0.95 | 0.927 | 6 DLF + CF + SVM | 0.9 | 0.9 | 0.9 | 0.9 | 8 DLF + CF + SVM | 0.85 | 0.889 | 0.8 | 0.84 | 10 DLF + CF + SVM | 0.875 | 0.941 | 0.8 | 0.84 | 12 DLF + CF + SVM | 0.85 | 0.889 | 0.8 | 0.84 | 16 DLF + CF + SVM | 0.875 | 0.895 | 0.85 | 0.872 |
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