DNN models performance metrics
| Model | Training epochs/early stopping (yes/no) | Training time per epoch (s) | Training | Validation | ||
|---|---|---|---|---|---|---|
| Accuracy (%) | Loss | Accuracy (%) | Loss | |||
| 3D-VGG-16 | 20 (yes, after 6 epochs) | 409 | 57.43 | 96.23 | 61.92 | 91.01 |
| ResNet3D | 20 (no) | 74 | 98.37 | 6.62 | 85.38 | 7.06 |