Research Article
Alzheimer’s Disease Classification Based on Image Transformation and Features Fusion
Table 4
Comparison results of different methods.
| | Methods | Dataset | Experiment | | NC vs. AD | MCI vs. AD | NC vs. MCI |
| | Peng et al. [27] | AD (49), MCI (93), NC (47) | 96.10% | 76.90% | 80.30% | | Khedher et al. [28] | AD (188), NC (229), MCI (401) | 88.49% | 85.41% | 81.89% | | Liu et al. [29] | AD (51), MCI (99), NC (52) | 94.37% | — | 78.80% | | Zhu et al. [30] | AD (51), MCI (99), NC (52) | 93.80% | — | 79.70% | | Li et al. [18] | AD (243), MCI (525), NC (307) | 83.95% | 82.53% | 80.15% | | Dai et al. [23] | AD (16), NC (27) | 86.84% | — | — | | The proposed method | AD (34), MCI (38), NC (50) | 92.00% | 86.36% | 88.89% |
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