Research Article
Hybrid Convolutional Neural Network for Localization of Epileptic Focus Based on iEEG
Table 1
Confusion matrices and performance measures of the proposed models.
(a) TFCNN model |
| | | Focal | Nonfocal | Precision | Recall | Accuracy | Kappa score | MCC |
| 5-fold | Focal | | | 90.4% | 91.1% | 90.7% | 0.814 | 0.814 | Nonfocal | | |
| 10-fold | Focal | | | 91.6% | 92.3% | 91.9% | 0.838 | 0.838 | Nonfocal | | |
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(b) Mixed-CNN model |
| | | Focal | Nonfocal | Precision | Recall | Accuracy | Kappa score | MCC |
| 5-fold | Focal | | | 91.7% | 92.0% | 91.8% | 0.837 | 0.837 | Nonfocal | | |
| 10-fold | Focal | | | 92.3% | 92.6% | 92.5% | 0.849 | 0.849 | Nonfocal | | |
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(c) TF-HybridNet model |
| | | Focal | Nonfocal | Precision | Recall | Accuracy | Kappa score | MCC |
| 5-fold | Focal | | | 93.0% | 93.4% | 93.2% | 0.864 | 0.864 | Nonfocal | | |
| 10-fold | Focal | | | 94.3% | 94.3% | 94.3% | 0.887 | 0.887 | Nonfocal | | |
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