Table 6 The average accuracy of the methods in the AD and MCI classification
From: An intelligent Alzheimer’s disease diagnosis method using unsupervised feature learning
Images | Ref. [19] | Proposed method |
|---|---|---|
MRI | 0.704 ± 0.026 | 0.901 ± 0.020 |
PET | 0.711 ± 0.025 | 0.872 ± 0.023 |
CSF | 0.655 ± 0.009 | 0.819 ± 0.021 |
CONCAT | 0.752 ± 0.030 | 0.655 ± 0.009 |
MK-SVM | 0.827 ± 0.025 | 0.843 ± 0.021 |