Table 3.
Classification performances of pMCI vs. sMCI (%).
| Method | #parms | ACC (%) | SEN (%) | SPE (%) |
|---|---|---|---|---|
| Hosseini-Asl et al. 2018 | ~9,100 K | 62.64 ± 5.53 | 65.15 | 60.53 |
| Korolev et al. 2017 | ~5,610 K | 61.22 ± 5.63 | 65.53 | 59.06 |
| Rieke et al. 2018 | ~5,324 K | 62.81 ± 6.15 | 66.93 | 58.85 |
| CNNs (Scratch) | ~1,446 K | 60.64 ± 5.56 | 61.05 | 59.15 |
| CAE | ~1,446 K | 60.69 ± 3.72 | 61.43 | 60.04 |
| ICAE | ~371 K | 61.39 ± 4.76 | 62.56 | 60.41 |
| CAE (Transfer learning) | ~1,446 K | 73.23 ± 4.21 | 74.96 | 71.53 |
| ICAE (Transfer learning) | ~371 K | 73.95 ± 4.82 | 77.46 | 70.71 |