Table 4 Comparative study with existing methods
Method | Dataset | Accuracy (%) | Remark |
|---|---|---|---|
Ensemble of deep neural network [62] | OASIS | 93.18 | 4-way classification. Custom CNNs used in the Ensemble |
Transfer Learning using AlexNet [63] | OASIS | 92.85 | 4-way classification |
Ensemble of 2 SVMs [64] | OASIS | 69.1 | For binary classification accuracy 93.2% |
Ensemble of 5 transfer learning [64] | OASIS | 70.6 | For binary classification accuracy 90.2% |
SVM [65] | OASIS | 77.0 | For binary classification accuracy 97.0% |
Multi-kernel SVM [66] | ADNI | 93.2 | This work discusses various ML techniques |
SVM and CNN [67] | ADNI | 96.0 | 3-way classification for predetection of AD through AD vs MCI vs CN. |
3D Ensemble of DenseNet [8] | ADNI | 83.33 | 4-way classification |
Proposed model | OASIS | 93.85 | 4-way classification |
Proposed model | ADNI | 91.83 | 4-way classification |