Medical Image Classification on AdrenalMNIST3D
92AUCAC-Base
Evaluation results
| Method | Links | ||
|---|---|---|---|
| AC-Base# of trainable params=427M2026.02 | 92 | 88.6 | |
| AC-Small# of trainable params=216M2026.02 | 91.8 | 87.2 | |
| AC-Tiny# of trainable params=9.5M2026.02 | 91.2 | 87.6 | |
| BSDA# of trainable params=33M2026.02 | 89.2 | 83.8 | |
| CdTransformer + CcCL2026.02 | 88.4 | 83.6 | |
| G-LoG bi-filtration (MLP)sigma=0.52026.02 | 87 | 84.7 | |
| G-LoG bi-filtration (MLP)sigma=12026.02 | 86.7 | 82.9 | |
| G-LoG bi-filtration (MLP)sigma=1.52026.02 | 85 | 82.9 | |
| ViViT-M + R-LLM# of trainable params=295M2026.02 | 84.9 | 83.2 | |
| LMTTM-VMI# of trainable params=21M2026.02 | 84.7 | 84.2 | |
| ResNet-18+ACS2026.02 | 83.9 | 75.4 | |
| Topo-Med (MLP)2026.02 | 83.7 | 55.4 | |
| ResNet-50+3D2026.02 | 82.8 | 74.5 | |
| ResNet-50+ACS2026.02 | 82.8 | 75.8 | |
| auto-sklearn2026.02 | 82.8 | 80.2 | |
| ResNet-18+3D2026.02 | 82.7 | 72.1 | |
| Official# of trainable params=33M2026.02 | 82.7 | 72.1 | |
| AutoKeras2026.02 | 80.4 | 70.5 | |
| G-LoG bi-filtration (MLP)sigma=02026.02 | 74.2 | 78.9 | |
| ResNet-50+2.5D2026.02 | 73.2 | 76.3 | |
| ResNet-18+2.5D2026.02 | 71.8 | 77.2 |