TABLE 3.
Results for AD classification (i.e., AD vs. NC) on the baseline ADNI-1, using the baseline ADNI-2 as the training set.
| Method | ACC | SEN | SPE | AUC |
|---|---|---|---|---|
| LBM | 0.820 | 0.824 | 0.817 | 0.887 |
| wH-FCN | 0.895 | 0.879 | 0.910 | 0.945 |
Results for AD classification (i.e., AD vs. NC) on the baseline ADNI-1, using the baseline ADNI-2 as the training set.
| Method | ACC | SEN | SPE | AUC |
|---|---|---|---|---|
| LBM | 0.820 | 0.824 | 0.817 | 0.887 |
| wH-FCN | 0.895 | 0.879 | 0.910 | 0.945 |