Image Classification on OrganAMNIST v2 (test)
99.8AUCResNet-18
Evaluation results
| Method | Links | ||
|---|---|---|---|
| ResNet-18Input Resolution=2242026.02 | 99.8 | 95.1 | |
| ResNet-50Input Resolution=2242026.02 | 99.8 | 94.7 | |
| ResNet-18Input Resolution=282026.02 | 99.7 | 93.5 | |
| ResNet-50Input Resolution=282026.02 | 99.7 | 93.5 | |
| AutoKeras2026.02 | 99.4 | 90.5 | |
| Google AutoML Vision2026.02 | 99 | 88.6 | |
| auto-sklearn2026.02 | 96.3 | 76.2 | |
| G-LoG bi-filtration (MLP)Sigma (σ)=0.52026.02 | 93.6 | 58.4 | |
| G-LoG bi-filtration (MLP)Sigma (σ)=02026.02 | 93.4 | 59.1 | |
| G-LoG bi-filtration (MLP)Sigma (σ)=12026.02 | 93.1 | 56.2 | |
| G-LoG bi-filtration (MLP)Sigma (σ)=1.52026.02 | 92.7 | 55.9 | |
| Topo-Med (MLP)2026.02 | 92.1 | 52.3 |