Research Article
Selection of Spatiotemporal Features in Breast MRI to Differentiate between Malignant and Benign Small Lesions Using Computer-Aided Diagnosis
Table 3
Sensitivity and specificity for specific features alone and in combination based on linear naive Bayes classification.
| Features | True positive (%) | True negative (%) |
| Contour feature (radius standard deviation) | 70.5 | 85.7 | Scaling index features (entropy) | 82.3 | 57.1 | Tumor RSIE features (entropy (time scan 4)) | 76.4 | 71.4 | Contour RSIE features (entropy (time scan 4)) | 76.4 | 71.4 | Slope of RSIE | 76.4 | 64.3 | Geometric 5th moment | 71.6 | 100 | Bayes classification without geometric moments | 76.4 | 78.5 | Bayes classification with geometric moments | 88.2 | 78.5 |
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