Table 1.
Average evaluation metrics of 3D-based convolutional networks compared to the traditional 2D-based convolutional networks.
Labels | Classifier | Recall | Precision | F1-score |
---|---|---|---|---|
Contrast | 2D | 0.61 | 0.62 | 0.61 |
3D | 0.96 | 0.94 | 0.95 | |
NCI | 2D | 0.59 | 0.54 | 0.56 |
3D | 0.93 | 0.9 | 0.91 | |
MCI | 2D | 0.57 | 0.55 | 0.56 |
3D | 0.94 | 0.93 | 0.93 | |
Dementia | 2D | 0.62 | 0.64 | 0.63 |
3D | 0.95 | 0.91 | 0.93 |