TABLE 4.
Model | ACC | SEN | SPE | AUC |
3D-VGG11 (Huang et al., 2019) | 89.11 | 90.24 | 87.77 | 92.69 |
3D-ResNet10 | 86.26 | 86.56 | 85.94 | 84.48 |
3D CNN (4 layers) | 88.77 | 89.11 | 88.41 | 87.11 |
Bold values mean the best value in the comparative experiment.
Model | ACC | SEN | SPE | AUC |
3D-VGG11 (Huang et al., 2019) | 89.11 | 90.24 | 87.77 | 92.69 |
3D-ResNet10 | 86.26 | 86.56 | 85.94 | 84.48 |
3D CNN (4 layers) | 88.77 | 89.11 | 88.41 | 87.11 |
Bold values mean the best value in the comparative experiment.