Image Classification on Mitosis (Histopathology)
85.33AccuracyM-IDoL
Evaluation results
| Method | Links | ||
|---|---|---|---|
| M-IDoLInference Mode=Fine-tuned2026.04 | 85.33 | 95.62 | |
| M-IDoL2026.04 | 85.33 | 95.62 | |
| UNIInference Mode=Fine-tuned2026.04 | 85.07 | 93.34 | |
| VirchowInference Mode=Fine-tuned2026.04 | 84.58 | 92.97 | |
| UniMed2026.04 | 82.24 | 92.71 | |
| CoSMIC2026.04 | 81.64 | 91.54 | |
| MedCoss2026.04 | 80.85 | 91.54 | |
| PhikonInference Mode=Fine-tuned2026.04 | 80.34 | 92.24 | |
| Unimiss+2026.04 | 79.25 | 86.58 | |
| TransPathInference Mode=Fine-tuned2026.04 | 79.2 | 90.32 | |
| LVM-Med2026.04 | 79.11 | 90.18 | |
| DINO2026.04 | 78.67 | 87.88 | |
| MAE2026.04 | 78.28 | 89.57 | |
| SwinViT2026.04 | 75.07 | 88.97 |