Computational Intelligence and Neuroscience / 2017 / Article / Tab 4

Research Article

Pathological Brain Detection Using Weiner Filtering, 2D-Discrete Wavelet Transform, Probabilistic PCA, and Random Subspace Ensemble Classifier

Table 4

Classification comparison with DS-90.

Existing methodsSuccess casesSensitivity (%)Specificity (%)Precision (%)Accuracy (%)

DWT + PCA + BPNN [25]38888.0056.0097.1486.22
DWT + PCA + RBF-NN [25]41192.4772.0098.2591.33
DWT + PCA + PSO-KSVM [25]44098.1292.0099.5297.78
WE + BPNN [26]39088.4756.0097.1686.67
WE + KSVM [27]41393.1868.0098.0291.78
DWT + PCA + GA-KSVM [28]43997.8892.0099.5297.56
WE + PSO-KSVM [29]43797.6588.0099.2897.11
WE + BBO-KSVM [29]44098.1292.0099.5297.78
WE + QPSO-KSVM [30]44298.5992.0099.5298.22
WFRFT + PCA + GEPSVM [31]44699.5392.0099.5399.11
HMI + SEPSVM [15]44599.0696.0098.89
HMI + TSVM [15]44599.2992.0098.89
Proposed
2D- DWT + PPCA + RSE (proposed)450100.00100.00100.00100.00

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