TABLE II.
Comparison with state-of-the-art methods using multiple templates in AD vs. NC and pMCI vs. sMCI classification
| Method | Feature Type | Classifier | AD vs. NC |
pMCI vs. sMCI |
||||
|---|---|---|---|---|---|---|---|---|
| ACC (%) |
SEN (%) |
SPE (%) |
ACC (%) |
SEN (%) |
SPE (%) |
|||
| Koikkalainen et al. [19] | TBM | Linear regression | 86.00 | 81.00 | 91.00 | 72.10 | 77.00 | 71.00 |
| Wolz et al. [8] | TBM | Linear discriminant analysis | 87.00 | 84.00 | 90.00 | 64.00 | 65.00 | 62.00 |
| Min et al. [31] | Data-Driven ROI GM | SVM | 91.64 | 88.56 | 93.85 | 72.41 | 72.12 | 72.58 |
| Min et al. [34] | Data-Driven ROI GM | SVM | 90.69 | 87.56 | 93.01 | 73.69 | 76.44 | 70.76 |
| Liu et al. [32] | Data-Driven ROI GM | SVM ensemble | 92.51 | 92.89 | 88.33 | 78.88 | 85.45 | 76.06 |
| ISML (ours) | Data-Driven ROI GM | SVM ensemble | 93.83 | 92.78 | 95.69 | 80.90 | 85.95 | 78.41 |