Table 3.
A summary of the performances for AD vs. NC classification.
| Method | Modality | ACC (%) | SEN (%) | SPEC (%) | BAC (%) | AUC (%) |
|---|---|---|---|---|---|---|
| STL | ||||||
| MRI | 90.45±6.08 | 82.67 | 98.33 | 90.50 | 93.55 | |
| PET | 86.27±8.59 | 82.00 | 90.33 | 86.17 | 90.12 | |
| MP | 92.27±5.93 | 90.00 | 94.67 | 92.33 | 94.91 | |
| MPC | 94.27±6.54 | 94.00 | 94.33 | 94.17 | 95.74 | |
| SMTL | ||||||
| MRI | 93.27±6.33 | 88.33 | 98.33 | 93.33 | 94.19 | |
| PET | 89.27±7.43 | 90.00 | 88.33 | 89.17 | 91.67 | |
| MP | 95.18±6.65 | 94.00 | 96.33 | 95.17 | 96.15 | |
| MPC | 95.27±6.58 | 94.00 | 96.33 | 95.17 | 97.13 |
(STL, Single-Task Learning; SMTL, Subclass-based Multi-Task Learning). The boldface denotes the best performance in each metric.