Medical Image Classification on BreastMNIST
89.7Overall AccuracyMedVIT-S
Evaluation results
| Method | Links | ||
|---|---|---|---|
| MedVIT-S2026.05 | 89.7 | 93.8 | |
| MedVIT-T2026.05 | 89.6 | 93.4 | |
| MedVIT-L2026.05 | 88.3 | 92.9 | |
| MKG-CARECategory=Ours2026.05 | 87.2 | 83.1 | |
| MO-MAE2026.05 | 87.2 | 92 | |
| KEMCategory=Knowledge-enhanced, Year=20252026.05 | 86.5 | 90.9 | |
| Google AutoML2026.05 | 86.1 | 91.9 | |
| MedMambaCategory=Vision-based, Year=20242026.05 | 85.3 | 82.5 | |
| ResNet-502026.05 | 84.2 | 86.6 | |
| EfficientNetV2Category=Vision-based, Year=20212026.05 | 84 | 76.4 | |
| ConvNeXtCategory=Vision-based, Year=20222026.05 | 83.3 | 81.7 | |
| ResNet-182026.05 | 83.3 | 89.1 | |
| AutoKeras2026.05 | 83.1 | 87.1 | |
| VMambaCategory=Vision-based, Year=20242026.05 | 82.1 | 80.4 | |
| Auto-sklearn2026.05 | 80.3 | 83.6 | |
| Gemini-3-proCategory=General LVLM, Year=20252026.05 | 80.1 | 77.6 | |
| Swin-TransformerCategory=Vision-based, Year=20212026.05 | 75.6 | 78.8 | |
| Qwen3.5-plusCategory=General LVLM, Year=20262026.05 | 75 | 72.4 | |
| medgemma-1.5-4b-itCategory=Med-LVLM, Year=20262026.05 | 73.7 | 51.2 | |
| GPT-5.1Category=General LVLM, Year=20252026.05 | 64.7 | 70.9 | |
| Health-GPT-XL32Category=Med-LVLM, Year=20242026.05 | 37.2 | 56.3 | |
| HuatuoGPT-Vision-34BCategory=Med-LVLM, Year=20242026.05 | 35.3 | 55 |