Research Article
BrainNet: Optimal Deep Learning Feature Fusion for Brain Tumor Classification
Table 3
Comparison of the prediction time (sec) of brain tumors.
| Prediction time (sec) | Classifiers | Original ResNet101 | Optimized | Feature fusion | Speedup (org VS FF) | PSO | DE |
| Fine tree | 286.34 | 139.28 | 159.25 | 156.73 | 1.8x | Linear discriminant | 336.99 | 62.48 | 117.11 | 52.093 | 6.5x | Cubic SVM | 4461.8 | 954.87 | 2088.8 | 3901.4 | 1.1x | Boosted trees | 5615.4 | 2691.4 | 3013.2 | 2688.8 | 2.1x | Bagged trees | 774.26 | 326.44 | 460.75 | 403.45 | 1.9x | Subspace discriminant | 3063.2 | 688.63 | 1287.2 | 552.78 | 5.5x | Narrow neural network | 5999.1 | 1332.7 | 2754.2 | 1662.1 | 3.6x | Medium neural network | 4906.5 | 1457.7 | 3636.3 | 192.56 | 25.5x | Wide neural network | 1310.4 | 404.63 | 701.48 | 100.38 | 13.1x |
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