Table 5 The average accuracy of the methods in the MCI and HC classification
From: An intelligent Alzheimer’s disease diagnosis method using unsupervised feature learning
Images | Ref. [19] | Proposed method |
|---|---|---|
MRI | 0.80 ± 0.016 | 0.901 ± 0.020 |
PET | 0.745 ± 0.018 | 0.872 ± 0.023 |
CSF | 0.679 ± 0.022 | 0.819 ± 0.021 |
CONCAT | 0.836 ± 0.005 | 0.857 ± 0.009 |
MK-SVM | 0.888 ± 0.012 | 0.912 ± 0.008 |