MedMnist
Benchmarks
| Task Name | Dataset Name | SOTA Result | Trend | |
|---|---|---|---|---|
| Medical Image Classification | MedMnist BloodMnist (test) | Accuracy99 | 65 | |
| Medical Image Classification | MedMNIST Breast (test) | Accuracy92.8 | 36 | |
| Medical Image Classification | MedMNIST Derma (test) | Accuracy84.1 | 36 | |
| Medical Image Classification | MedMNIST Pneumonia (test) | Accuracy96.2 | 36 | |
| Medical Image Classification | MedMNIST OrganS (test) | Accuracy82.4 | 30 | |
| Medical Image Classification | MedMNIST DermaMNIST v2 (test) | Accuracy94.4 | 22 | |
| Image Classification | MedMNIST OrganAMNIST (test) | Accuracy97.62 | 20 | |
| Adversarial Attack | ChestMNIST (test) | KMRa0.03 | 15 | |
| Medical Image Classification | MedMNIST v2 (test) | Average Accuracy26.8 | 13 | |
| Medical Image Classification | MedMNIST PneumoniaMNIST (35%) | AUC99.8 | 11 | |
| Medical Image Classification | MedMNIST BreastMNIST (37%) | AUC90.7 | 11 | |
| Image Classification | MedMNIST (test) | Clean Accuracy86.01 | 11 | |
| Image Classification | MedMNIST PathMNIST (test) | Accuracy86.63 | 10 | |
| Label Unlearning | MedMNIST PathMNIST (test) | Test Accuracy84.78 | 10 | |
| Organ Classification | MedMNIST+ Organ (test) | Accuracy (A)83.8 | 9 | |
| 3D Image Classification | MedMNIST 3D v2 (test) | Organ Accuracy0.998 | 9 | |
| Medical Image Classification | MedMnist | Colon Accuracy87.41 | 9 | |
| Image Classification | MedMNIST | Accuracy84.4 | 6 | |
| Federated Unlearning | MedMNIST | Running time (sec)1.3 | 5 |
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