Research Article
Automated Identification of Dementia Using FDG-PET Imaging
Table 2
Performance of the algorithm in binary comparisons.
| | Algorithm in [18] | Algorithm in [21] | Purposed GA-MKL algorithm |
| AD versus normal (86 studies) | | | | Sensitivity | 93.48% | 91.30% | 97.82% | Specificity | 97.50% | 97.50% | 100% | Accuracy | 91.81% | 93.19% | 98.89% |
| FTD versus normal (83 studies) | | | | Sensitivity | 93.02% | 95.35% | 100% | Specificity | 97.50% | 95.00% | 100% | Accuracy | 97.64% | 95.42% | 100% |
| AD versus FTD (89 studies) | | | | Sensitivity | 91.30% | 91.11% | 95.65% | Specificity | 97.67% | 85.71% | 95.35% | Accuracy | 90.83% | 87.36% | 94.55% |
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The bold font refers to the best performance obtained in each test.
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