Research Article
Brain MR Image Classification for Alzheimer’s Disease Diagnosis Based on Multifeature Fusion
Table 9
Classification accuracy with different type of features.
| Feature type | ACC (%) | SEN (%) | SEPC (%) | PPV (%) | NPV (%) |
| AD-NC | Texture feature | 78.57 | 75.93 | 81.03 | 78.85 | 78.33 | Morphological feature | 79.46 | 74.07 | 84.48 | 81.36 | 77.78 | Feature combination | 85.71 | 79.63 | 91.38 | 89.58 | 82.81 |
| MCI-NC | Texture feature | 83.33 | 77.78 | 88.89 | 87.50 | 80.00 | Morphological feature | 63.88 | 55.56 | 65.00 | 66.67 | 61.90 | Feature combination | 86.11 | 77.78 | 94.44 | 93.33 | 80.95 |
| AD-MCI | Texture feature | 76.47 | 94.44 | 61.11 | 70.83 | 91.67 | Morphological feature | 70.59 | 66.67 | 77.78 | 75 | 70 | Feature combination | 79.44 | 88.89 | 72.22 | 76.19 | 86.67 |
| 3-way | Texture feature | 73.08 | X | X | X | X | Morphological feature | 63.46 | X | X | X | X | Feature combination | 75.00 | X | X | X | X |
|
|