Classification on ADNI
0.917AccuracyLETetCNN
Evaluation results
| Method | Links | ||||
|---|---|---|---|---|---|
| LETetCNN2025.03 | 0.917 | 0.915 | 0.92 | — | |
| TetCNN2025.03 | 0.876 | 0.886 | 0.859 | — | |
| ChebyNet2025.03 | 0.87 | 0.881 | 0.85 | — | |
| GAT2025.03 | 0.858 | 0.873 | 0.836 | — | |
| EM12026.01 | 0.8182 | 0.645 | 0.884 | 0.573 | |
| EM22026.01 | 0.8143 | 0.615 | 0.865 | 0.555 | |
| BaselineArchitecture=3D U-Net2026.01 | 0.8116 | 0.626 | 0.859 | 0.572 | |
| EFDM2026.01 | 0.8007 | 0.558 | 0.84 | 0.567 | |
| EM1Trained on=NACC, Backbone=3D U-Net2026.01 | 0.503 | 0.575 | 0.748 | 0.519 | |
| BaselineTrained on=NACC, Backbone=3D U-Net2026.01 | 0.4947 | 0.563 | 0.744 | 0.508 | |
| EM2Trained on=NACC, Backbone=3D U-Net2026.01 | 0.4942 | 0.568 | 0.742 | 0.508 | |
| CCSDGTrained on=NACC, Backbone=3D U-Net2026.01 | 0.4739 | 0.57 | 0.74 | 0.488 | |
| RSCTrained on=NACC, Backbone=3D U-Net2026.01 | 0.4717 | 0.546 | 0.732 | 0.483 | |
| MixstyleTrained on=NACC, Backbone=3D U-Net2026.01 | 0.4662 | 0.558 | 0.737 | 0.476 | |
| MixupTrained on=NACC, Backbone=3D U-Net2026.01 | 0.4634 | 0.548 | 0.732 | 0.476 | |
| DT-MixupTrained on=NACC, Backbone=3D U-Net2026.01 | 0.4508 | 0.543 | 0.729 | 0.463 | |
| EFDMTrained on=NACC, Backbone=3D U-Net2026.01 | 0.4393 | 0.546 | 0.732 | 0.447 |