pMCI classification on ADNI pMCI
79.22Balanced AccuracyVAP-Former
Evaluation results
| Method | Links | |||
|---|---|---|---|---|
| VAP-FormerModality (Visual)=true, Modality (Tabular)=true, Fine-tuning strategy=Prompt Fine-tuning (PT), Number of parameters=0.59M2023.10 | 79.22 | 63.13 | 86.31 | |
| VA-FormerModality (Visual)=true, Modality (Tabular)=true, Fine-tuning strategy=Full Fine-tuning (FT), Number of parameters=70.19M2023.10 | 78.29 | 62.93 | 84.77 | |
| DAFTModality (Visual)=true, Modality (Tabular)=true, Fine-tuning strategy=Full Fine-tuning (FT), Number of parameters=67.89M2023.10 | 78.06 | 62.92 | 85.33 | |
| TabformerModality (Visual)=false, Modality (Tabular)=true, Fine-tuning strategy=Full Fine-tuning (FT), Number of parameters=27.13M2023.10 | 78.05 | 60.29 | 84.26 | |
| DFAFModality (Visual)=true, Modality (Tabular)=true, Fine-tuning strategy=Full Fine-tuning (FT), Number of parameters=69.32M2023.10 | 77.14 | 59.66 | 84.41 | |
| HAMTModality (Visual)=true, Modality (Tabular)=true, Fine-tuning strategy=Full Fine-tuning (FT), Number of parameters=71.83M2023.10 | 75.07 | 55.58 | 84.23 | |
| 4-Way ClassifierModality (Visual)=true, Modality (Tabular)=false, Fine-tuning strategy=Full Fine-tuning (FT), Number of parameters=12.27M2023.10 | 71.86 | 53.49 | 75.81 | |
| UNETR++Modality (Visual)=true, Modality (Tabular)=false, Fine-tuning strategy=Full Fine-tuning (FT), Number of parameters=64.59M2023.10 | 65.94 | 47.42 | 70.46 |