sMCI/pMCI classification on ADNI Cross-sectional
78.3BACCZhou et al.(b)
Evaluation results
| Method | Links | |
|---|---|---|
| Zhou et al.(b)Type=Non-deep-learning (N), Modalities=MRI, PET, Sample Size (sMCI/pMCI)=114/712021.03 | 78.3 | |
| Huang et al.Type=Deep-learning (D), Modalities=MRI, PET, Sample Size (sMCI/pMCI)=441/3262021.03 | 76.9 | |
| Zhou et al.(a)Type=Non-deep-learning (N), Modalities=MRI, PET, SNP, Sample Size (sMCI/pMCI)=205/1572021.03 | 74.3 | |
| Lin et al.Type=Deep-learning (D), Modalities=MRI, Sample Size (sMCI/pMCI)=100/1642021.03 | 73 | |
| Zu et al.Type=Non-deep-learning (N), Modalities=MRI, PET, Sample Size (sMCI/pMCI)=56/432021.03 | 69 | |
| Suk et al.Type=N + D, Modalities=MRI, Sample Size (sMCI/pMCI)=128/762021.03 | 63.8 | |
| Liu et al.Type=Deep-learning (D), Modalities=MRI, Sample Size (sMCI/pMCI)=465/2052021.03 | 62.2 |