Image Classification on BreakHis Binary
93AccuracyM-IDoL
Evaluation results
| Method | Links | ||
|---|---|---|---|
| M-IDoLInference Mode=Fine-tuned2026.04 | 93 | 97.84 | |
| M-IDoL2026.04 | 93 | 97.84 | |
| UNIInference Mode=Fine-tuned2026.04 | 92.64 | 97.39 | |
| VirchowInference Mode=Fine-tuned2026.04 | 92.39 | 96.48 | |
| CoSMIC2026.04 | 91.65 | 95.96 | |
| PhikonInference Mode=Fine-tuned2026.04 | 91.11 | 95.55 | |
| TransPathInference Mode=Fine-tuned2026.04 | 90.87 | 94.2 | |
| UniMed2026.04 | 90.54 | 94.07 | |
| MedCoss2026.04 | 90.31 | 94.27 | |
| DINO2026.04 | 90.25 | 96.24 | |
| SwinViT2026.04 | 89.33 | 94.38 | |
| MAE2026.04 | 88.27 | 95.8 | |
| LVM-Med2026.04 | 88 | 93 | |
| Unimiss+2026.04 | 87.69 | 91.11 |