Research Article
Automatic Diagnosis of Alzheimer’s Disease and Mild Cognitive Impairment Based on CNN + SVM Networks with End-to-End Training
Table 7
Ablations studies of the proposed 3DCNN + SVM model applied to binary classification of AD vs. NC (%).
| Method | Training set | Testing set | ACC | SEN | SPE | AUC | ACC | SEN | SPE | AUC |
| 3DCNN | 99.50 | 99.72 | 99.39 | 99.97 | 89.83 | 90.94 | 89.26 | 92.68 | 3DCNN + SVM | 98.62 | 99.01 | 98.40 | 99.95 | 90.20 | 90.34 | 90.19 | 93.36 | 3DCNN + SVM + E2E | 99.19 | 99.39 | 99.54 | 99.88 | 90.82 | 91.29 | 90.59 | 93.75 |
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