CheXpert
Benchmarks
| Task Name | Dataset Name | SOTA Result | Trend | |
|---|---|---|---|---|
| Radiology Report Generation | CheXpert Plus (test) | Precision0.377 | 88 | |
| Classification | CheXpert (test) | AUC ROC96.72 | 66 | |
| Anomaly Detection | CheXpert (test) | AUROC0.885 | 49 | |
| Linear Classification | CheXpert (test) | AUC0.9 | 39 | |
| Radiology Report Generation | CHEXPERT Plus | R-L27.1 | 37 | |
| Medical Image Classification | CheXpert | AUC91.2 | 36 | |
| Medical Image Classification | CheXpert High Non-IID Level | Accuracy70.48 | 30 | |
| Medical Image Classification | CheXpert Medium Non-IID Level | Performance72.16 | 30 | |
| Medical Image Classification | CheXpert Low Non-IID Level | Accuracy76.64 | 30 | |
| Image Classification | CheXpert 5x200 | Accuracy62.45 | 28 | |
| Classification | CheXpert 5x200 1.0 | Accuracy66.74 | 27 | |
| Chest X-ray classification | CheXpert (test) | AUROC (Macro)89.8 | 27 | |
| Image Classification | CheXpert (test) | AUC89.5 | 25 | |
| Classification | CheXpert | AUC0.8759 | 25 | |
| Disease Classification | CheXpert | AUROC0.9238 | 23 | |
| Group Robustness | CheXpert (test) | WGA73.4 | 22 | |
| Binary disease diagnosis | CheXpert (test) | Macro Acc85.9 | 21 | |
| Multi-label Classification | CheXpert | ROC AUC79.4 | 21 | |
| Cross-modal Retrieval | CheXpert Plus | Recall@113.83 | 20 | |
| Image Classification | CheXpert 5x200 (test) | Accuracy49.8 | 19 | |
| Multi-label Classification | CheXpert Global (test) | Dir (t=1)78.02 | 16 | |
| Multi-label Classification | CheXpert Local (test) | Dir (1)0.7747 | 16 | |
| Medical Image Classification | CheXpert Plus (test) | AUC83.55 | 14 | |
| Multi-label Classification | CheXpert | Mean AUC81.252 | 14 | |
| Clinical report generation | CheXpert Plus | Accuracy4.91 | 13 |
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