Medical Image Classification on BloodMNIST
100AUCMO-MAE
Evaluation results
| Method | Links | ||
|---|---|---|---|
| MO-MAE2026.05 | 100 | 98.8 | |
| SimCLRBackbone=ResNet-50, Initialization=random, Training Protocol=self-supervised2026.04 | 99.8 | — | |
| ResNet-182026.05 | 99.8 | 96.3 | |
| AutoKeras2026.05 | 99.8 | 96.1 | |
| Google AutoML2026.05 | 99.8 | 96.6 | |
| NNCLRBackbone=ResNet-50, Initialization=random, Training Protocol=self-supervised2026.04 | 99.74 | — | |
| MoCoV3Backbone=ResNet-50, Initialization=random, Training Protocol=self-supervised2026.04 | 99.71 | — | |
| ResNet-502026.05 | 99.7 | 95 | |
| MedVIT-S2026.05 | 99.7 | 95.1 | |
| ReSSLBackbone=ResNet-50, Initialization=random, Training Protocol=self-supervised2026.04 | 99.69 | — | |
| MedVIT-T2026.05 | 99.6 | 95 | |
| MedVIT-L2026.05 | 99.6 | 95.4 | |
| BYOLBackbone=ResNet-50, Initialization=random, Training Protocol=self-supervised2026.04 | 99.47 | — | |
| VICRegBackbone=ResNet-50, Initialization=random, Training Protocol=self-supervised2026.04 | 99.47 | — | |
| AMIMV-SSLBackbone=ResNet-50, Initialization=random, Training Protocol=self-supervised2026.04 | 99.28 | — | |
| Auto-sklearn2026.05 | 98.4 | 87.8 | |
| DINOBackbone=ResNet-50, Initialization=random, Training Protocol=self-supervised2026.04 | 97.53 | — | |
| Barlow TwinsBackbone=ResNet-50, Initialization=random, Training Protocol=self-supervised2026.04 | 90.4 | — |