Research Article
Automatic Diagnosis of Alzheimer’s Disease and Mild Cognitive Impairment Based on CNN + SVM Networks with End-to-End Training
Table 9
Ablations studies of the proposed 3DCNN + SVM model applied to binary classification of AD vs. MCI (%).
| Method | Training set | Testing set | ACC | SEN | SPE | AUC | ACC | SEN | SPE | AUC |
| 3DCNN | 98.37 | 99.73 | 97.72 | 99.81 | 73.56 | 73.84 | 73.51 | 77.82 | 3DCNN + SVM | 97.72 | 99.43 | 96.80 | 99.84 | 73.95 | 71.88 | 74.89 | 78.75 | 3DCNN + SVM + E2E | 98.45 | 99.24 | 97.31 | 99.91 | 74.29 | 70.78 | 75.48 | 80.11 |
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