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Table 2 Performance comparison between deep learning vs. non-deep learning based approaches

From: Analyzing MRI scans to detect glioblastoma tumor using hybrid deep belief networks

Classification techniquesAccuracySpecificitySensitivityF-score
MLP0.85 ± 0.330.83 ± 0.260.87 ± 0.220.84 ± 0.30
RNN0.87 ± 0.230.88 ± 0.310.85 ± 0.210.84 ± 0.29
RBFNN0.79 ± 0.220.75 ± 0.230.74 ± 0.340.74 ± 0.21
ELM0.90 ± 0.150.87 ± 0.320.91 ± 0.220.89 ± 0.25
PNN0.89 ± 0.180.90 ± 0.280.87 ± 0.290.88 ± 0.32
TDNN0.86 ± 0.320.85 ± 0.250.88 ± 0.230.86 ± 0.29
DWT-PCA-DBN0.95 ± 0.140.94 ± 0.160.97 ± 0.260.95 ± 0.15