Research Article
An Ensemble of Deep Learning Enabled Brain Stroke Classification Model in Magnetic Resonance Images
Table 4
Comparative analysis of CAD-BSDC technique with existing approaches.
| Methods | Sensitivity | Specificity | F-measure | Accuracy |
| CAD-BSDC | 94.49 | 99.00 | 96.64 | 98.36 | SIFT-DT model | 91.04 | 98.23 | 91.91 | 97.25 | SURF-DT model | 78.10 | 95.11 | 80.15 | 92.62 | EM-PSORF | 92.50 | 95.80 | 95.17 | 93.40 | EM-PSOSVM | 90.40 | 94.60 | 93.44 | 93.20 | FODPSO-RF | 89.40 | 93.70 | 93.54 | 92.40 | FODPSO-SVM | 88.30 | 92.60 | 91.69 | 91.70 |
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