CAMELYON
Benchmarks
| Task Name | Dataset Name | SOTA Result | Trend | |
|---|---|---|---|---|
| Classification | Camelyon16 (test) | AUC98.87 | 69 | |
| Slide-level classification | CAMELYON16 | AUC0.987 | 52 | |
| Classification | Camelyon17 | Accuracy96.5 | 46 | |
| Cancer diagnosis | CAMELYON-16 | Accuracy95.49 | 42 | |
| Weakly Supervised Classification | CAMELYON Few-shot | Accuracy89.7 | 36 | |
| WSI Classification | CAMELYON17 (test) | AUC91.4 | 33 | |
| slide-level tumor localization | Camelyon 16 (test) | FROC88.5 | 30 | |
| WSI Classification | CAMELYON16 (test) | Avg Acc93.02 | 28 | |
| Bag-level classification | Camelyon16 | AUC94.25 | 27 | |
| Tumor classification | Camelyon17-WILDS (test) | AUC0.9835 | 26 | |
| Tumor classification | Camelyon17-WILDS (val) | AUC98.04 | 26 | |
| Whole Slide Image Retrieval | CAMELYON16 | Macro F1 Score0.74 | 23 | |
| WSI-level retrieval | CAMELYON16 (test) | Macro F177 | 23 | |
| WSI Classification | CAMELYON16 | Top-1 Macro F174 | 23 | |
| WSI-level retrieval | CAMELYON16 (Public) | MV@3 Accuracy78 | 23 | |
| Tumor localization | Camelyon16 (test) | AUC97.94 | 20 | |
| Classification | Camelyon16 abnormal detection | AUC99.6 | 20 | |
| WSI Classification | CAMELYON16 binary (test) | Instance AUC0.9532 | 19 | |
| Medical Image Classification | Fed-Camelyon (Round 5) | Accuracy97.29 | 19 | |
| Metastatic region segmentation | CAMELYON16 tiles (test) | Tissue Area (%)31.5 | 18 | |
| Histopathology Anomaly Detection | Camelyon16 HIS | AUC91.97 | 17 | |
| Domain Generalization | Camelyon17-WILDS | Avg Acc96.9 | 17 | |
| Differentially Private Image Synthesis | Camelyon | FID20.3 | 16 | |
| WSI-level Classification | CAMELYON 17 | F1 (Weighted)58.1 | 16 | |
| WSI-level Classification | CAMELYON 16 | F1 (Weighted)66.4 | 16 |
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