Research Article
Selection of Spatiotemporal Features in Breast MRI to Differentiate between Malignant and Benign Small Lesions Using Computer-Aided Diagnosis
Table 4
AUC values for selected single features and all features combined based on an FLDA classification.
| | Features | AUC (%) |
| | Contour feature (radius mean) | 82.6 | | Scaling index features (mean) | 79.6 | | Tumor RSIE features (entropy (time scan 3)) | 81.5 | | Contour RSIE features (entropy (time scan 4)) | 81.3 | | Slope of RSIE | 72.7 | | FLDA classification with all features | 84.7 |
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