Image Classification on ZhangCXR
96.68AccuracyM-IDoL
Evaluation results
| Method | Links | ||
|---|---|---|---|
| M-IDoLInference Mode=Fine-tuned2026.04 | 96.68 | 99.69 | |
| M-IDoL2026.04 | 96.68 | 99.69 | |
| CoSMIC2026.04 | 96.27 | 99.57 | |
| AFiReInference Mode=Fine-tuned2026.04 | 95.99 | 98 | |
| DINO2026.04 | 95.76 | 96.78 | |
| LVM-Med2026.04 | 95.42 | 97.81 | |
| Unimiss+2026.04 | 94.98 | 98.49 | |
| PCRLv2Inference Mode=Fine-tuned2026.04 | 94.88 | 97.84 | |
| DiRAInference Mode=Fine-tuned2026.04 | 94.58 | 96.74 | |
| AdamInference Mode=Fine-tuned2026.04 | 93.72 | 97.71 | |
| SwinViT2026.04 | 93.69 | 96.15 | |
| UniMed2026.04 | 93.57 | 97.31 | |
| MAE2026.04 | 93.42 | 95.88 | |
| MedCoss2026.04 | 92.88 | 98.16 |