PANDA
Benchmarks
| Task Name | Dataset Name | SOTA Result | Trend | |
|---|---|---|---|---|
| Mislabeled data detection | PANDA | F1 Score83.11 | 55 | |
| WSI classification | PANDA | Accuracy78.6 | 32 | |
| Classification | PANDA | Accuracy79.91 | 30 | |
| Image Generation | Panda 100-shot (train) | FID3.04 | 28 | |
| Whole Slide Image Classification | PANDA | Accuracy79.8 | 25 | |
| Whole Slide Image Retrieval | PANDA | Macro F1 Score60 | 23 | |
| WSI-level retrieval | PANDA (test) | Macro F1 Score57 | 23 | |
| WSI Classification | PANDA | Top-1 Macro Avg F164 | 23 | |
| WSI-level classification | PANDA | MV@5 Accuracy58 | 23 | |
| WSI-level retrieval | PANDA (Public) | MV@3 Accuracy60 | 23 | |
| Video Reconstruction | Panda-70M | PSNR35.87 | 21 | |
| Classification | PANDA (grading) | Cohen's Kappa0.937 | 20 | |
| Classification | PANDA (test) | Accuracy73.5 | 19 | |
| Histopathology Classification | PANDA | Accuracy74.6 | 18 | |
| Tissue subtyping | PANDA C=6 | Weighted Kappa94.28 | 16 | |
| Image Generation | Panda low-shot 100-shot | FID6.93 | 15 | |
| Saliency Ranking Protocol | PANDA | MSKcond27.35 | 14 | |
| Selective Region Prediction | PANDA (test) | MSKcond3.4 | 14 | |
| WSI Classification | PANDA (internal) | QWK0.917 | 13 | |
| ISUP grading | PANDA Radboud 6 classes (test) | Cohen's Kappa0.931 | 13 | |
| WSI diagnostic classification | PANDA (test) | Accuracy74.85 | 12 | |
| ISUP grading | PANDA 6 classes Karolinska (test) | Cohen's Kappa0.942 | 12 | |
| Prostate Cancer Grade Assessment | PANDA (private leaderboard) | QWK0.9414 | 12 | |
| Slide-level classification | Panda | Balanced Accuracy67.2 | 11 | |
| WSI Classification | PANDA structure-heavy (test) | F1 Score70.97 | 9 |
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