Research Article
Computational and Mathematical Methods in Medicine Glioma Brain Tumor Detection and Classification Using Convolutional Neural Network
Table 6
Performance metric comparison of proposed system with existing techniques.
| Parameters/models | SVM RBF | KSVD1 | KSVD2 | CANFES | CNN | CDBLNL |
| Precision | 81.9 | 83.5 | 90.1 | 88.2 | 90.8 | 95.6 | Recall | 80.9 | 82.9 | 89.4 | 89.8 | 91.5 | 93.8 | Accuracy | 84.8 | 88.8 | 90.2 | 87.8 | 91.6 | 97.8 | Balance loss | 83.6 | 87.5 | 90.9 | 87.2 | 90.9 | 95.7 | score | 84.1 | 89.1 | 89.95 | 88.1 | 90.1 | 94.3 |
|
|