Research Article

BrainNet: Optimal Deep Learning Feature Fusion for Brain Tumor Classification

Table 2

Comparison of prediction accuracy of brain tumors.

Accuracies %
ClassifiersOrg. ResNet101OptimizedFeature fusion%Age difference (org VS FF)
PSODE

Fine tree89.688.88892.63.3%
Linear discriminant9695.795.695.7−0.3%
Cubic SVM96.796.796.696.70%
Boosted trees92.892.192.392.5−0.3%
Bagged trees95.595.495.394.5−1%
Subspace discriminant95.895.595.495.4−0.4%
Narrow neural network95.795.595.493.9−1.9%
Medium neural network9695.895.894.4−1.7%
Wide neural network96.195.996.195.4−0.7%