MIMIC-CXR
Benchmarks
| Task Name | Dataset Name | SOTA Result | Trend | |
|---|---|---|---|---|
| Radiology Report Generation | MIMIC-CXR (test) | BLEU-40.262 | 121 | |
| Medical Report Generation | MIMIC-CXR | BLEU-40.164 | 43 | |
| Medical Report Generation | MIMIC-CXR (test) | ROUGE-L0.415 | 39 | |
| Radiology Report Generation | MIMIC-CXR | ROUGE-L42.3 | 32 | |
| Thoracic Disease Classification | MIMIC-CXR (test) | Atelectasis AUC92 | 28 | |
| Medical Image Re-identification | MIMIC-CXR | CMC-R196.89 | 26 | |
| Medical Report Generation | MIMIC-CXR | BLEU4.76 | 22 | |
| Medical Report Generation | MIMIC-CXR | F1 Score53.3 | 22 | |
| Medical Report Generation | MIMIC-CXR 2.0.0 (test) | BL-40.148 | 21 | |
| Medical Image Report Labeling | MIMIC-CXR (test) | Macro F1 (14 Labels)45.8 | 21 | |
| Chest X-ray Report Generation | MIMIC-CXR (test) | F1 Macro (14)45.8 | 21 | |
| Report Generation | MIMIC-CXR (test) | BLEU-415.6 | 20 | |
| Medical Report Generation | MIMIC-CXR | ROUGE-L31.4 | 15 | |
| Image-to-text retrieval | MIMIC-CXR | R@144.7 | 13 | |
| Radiology report generation | MIMIC-CXR Findings generation v1.5 (Vicuna-7B) | ROUGE-L26.1 | 12 | |
| Disease Classification | MIMIC-CXR | F1 Score0.443 | 12 | |
| Machine Unlearning | MIMIC-CXR (10% forget set) | MIA100 | 12 | |
| Machine Unlearning | MIMIC-CXR (6% forget set) | MIA100 | 12 | |
| Machine Unlearning | MIMIC-CXR (3% forget set) | MIA1 | 12 | |
| Radiology VQA | MIMIC-CXR | Accuracy84.91 | 9 | |
| X-ray understanding | MIMIC-CXR uncertain as positive | Micro F1 (14 classes)57.3 | 9 | |
| Selective Captioning | MIMIC-CXR 5x200 (test) | AURC (Cider-N)0.275 | 9 | |
| Text-Image Retrieval | MIMIC-CXR 5x200 | mAP@163.1 | 9 | |
| Image-Text Retrieval | MIMIC-CXR 5x200 | mAP@160.7 | 9 | |
| Report-to-CXR Retrieval | MIMIC-CXR | Recall@151.18 | 9 |
Showing 25 of 74 rows