Table 2.
Comparison of classification performances (%) of the competing methods. (ACCuracy (ACC), SENsitivity (SEN), SPEcificity (SPE), and Area Under Curve (AUC)).
| Feature | Method | AD vs. NC | MCI vs. NC | MCI-C vs. MCI-NC | ||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| ACC | SEN | SPE | AUC | p-value | ACC | SEN | SPE | AUC | p-value | ACC | SEN | SPE | AUC | p-value | ||
| MRI | MRI-N | 89.5 | 85.7 | 89.3 | 93.3 | <0.001 | 68.3 | 92.6 | 43.9 | 78.2 | <0.001 | 60.3 | 15.5 | 92.3 | 68.7 | <0.001 |
| MRI-S | 91.2 | 87.1 | 92.2 | 94.7 | <0.001 | 76.7 | 93.3 | 47.6 | 81.5 | <0.001 | 64.5 | 24.9 | 95.8 | 70.6 | <0.001 | |
| HOGM | 93.4 | 89.5 | 92.5 | 97.1 | 0.002 | 77.7 | 95.6 | 51.4 | 84.4 | <0.001 | 66.8 | 36.7 | 95.0 | 72.2 | <0.001 | |
| M3T | 92.6 | 87.2 | 95.9 | 97.5 | <0.001 | 78.1 | 94.5 | 54.0 | 83.1 | <0.001 | 67.1 | 37.7 | 92.0 | 72.5 | <0.001 | |
| Proposed | 93.7 | 88.6 | 97.8 | 97.6 | – | 79.7 | 94.8 | 56.9 | 84.7 | – | 71.8 | 48.0 | 92.8 | 81.4 | – | |
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| PET | PET-N | 86.2 | 88.5 | 87.8 | 90.2 | <0.001 | 69.0 | 95.0 | 37.8 | 76.2 | <0.001 | 62.2 | 21.6 | 93.1 | 71.3 | <0.001 |
| PET-S | 87.9 | 89.7 | 91.9 | 93.1 | <0.001 | 73.8 | 96.5 | 39.2 | 77.6 | <0.001 | 65.1 | 31.0 | 95.5 | 73.5 | <0.001 | |
| HOGM | 91.7 | 91.1 | 92.8 | 95.6 | 0.003 | 74.7 | 96.5 | 43.2 | 79.3 | <0.001 | 66.6 | 35.5 | 95.5 | 72.4 | <0.001 | |
| M3T | 90.9 | 90.5 | 93.1 | 96.4 | <0.001 | 77.2 | 94.5 | 44.3 | 80.5 | <0.001 | 67.0 | 39.1 | 93.2 | 73.1 | <0.001 | |
| Proposed | 91.8 | 91.5 | 93.8 | 96.9 | – | 79.2 | 97.1 | 45.3 | 80.8 | – | 71.2 | 47.4 | 93.0 | 77.6 | – | |