Research Article
Automated Feature Extraction in Brain Tumor by Magnetic Resonance Imaging Using Gaussian Mixture Models
Table 2
Performance metrics (%) based on the PCA features.
| Classifier | Sequence | Accuracy | False alarm | Missed detection |
| NB | T1-WI | 73.52 | 8.82 | 17.64 | T2-WI | 79.41 | 2.94 | 17.64 | FLAIR | 82.35 | 5.88 | 11.76 | Entire GBM | 68.62 | 15.68 | 15.68 |
| SVM | T1-WI | 55.88 | 0 | 44.11 | T2-WI | 61.76 | 8.82 | 29.41 | FLAIR | 85.29 | 0 | 14.70 | Entire GBM | 35.29 | 20.58 | 44.11 |
| PNN | T1-WI | 61.76 | 8.82 | 29.41 | T2-WI | 52.94 | 14.70 | 32.35 | FLAIR | 94.11 | 0 | 5.88 | Entire GBM | 51.96 | 9.80 | 38.23 |
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