Research Article
Computational and Mathematical Methods in Medicine Glioma Brain Tumor Detection and Classification Using Convolutional Neural Network
Table 3
Performance metric comparison of proposed system with existing techniques.
| Parameters/models | SVM RBF | KSVD1 | KSVD2 | CANFES | CNN | CDBLNL |
| Precision | 82.9 | 83.5 | 86.1 | 90.5 | 89.8 | 95.3 | Recall | 81.9 | 82.9 | 87.4 | 89.8 | 91.5 | 95.6 | Accuracy | 85.8 | 88.8 | 89.2 | 91.8 | 94.6 | 97.2 | Balance loss | 84.6 | 87.5 | 88.9 | 91.2 | 94.9 | 96.8 | score | 85.1 | 89.1 | 88.95 | 91.1 | 90.9 | 95.7 |
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