Table 2 Classification comparison with different residual network models.
From: Brain CT image classification based on mask RCNN and attention mechanism
Model | Accuracy/% | Precision/% | Recall/% | F1/% | Kappa/% |
|---|---|---|---|---|---|
ResNet50 | 85.45 | 75.21 | 82.55 | 78.69 | 76.76 |
ResNet34 | 87.38 | 79.45 | 82.63 | 81.06 | 75.85 |
ResNet18 | 89.27 | 82.57 | 83.69 | 83.07 | 75.97 |
ResNet10 | 91.72 | 88.64 | 89.52 | 89.12 | 77.84 |
