Breast
Benchmarks
| Task Name | Dataset Name | SOTA Result | Trend | |
|---|---|---|---|---|
| Classification | Breast | Accuracy95.6 | 36 | |
| Ultrasound Image Classification | Breast | Accuracy92.13 | 24 | |
| Clustering | Breast | ARI2.19 | 24 | |
| Medical Anomaly Detection | Breast | Dice Coefficient84.96 | 15 | |
| Classification | Breast 30% MCAR | F1 Score46.1 | 12 | |
| Outlier Detection | Breast | AP46.7 | 11 | |
| Outlier Detection | Breast | AUC65.9 | 11 | |
| Outlier Detection | Breast | AUC-ROC67.3 | 11 | |
| Outlier Detection | Breast | AUC-PR46.9 | 11 | |
| Missing data imputation | Breast 30% MCAR | Avg Error17.8 | 11 | |
| Interactive Segmentation | Breast | mIoU75 | 8 | |
| Binary Classification | Breast | Mean F1 Score97.6717 | 8 | |
| Classification | Breast Sine shift | Classification Error (%)3.29 | 8 | |
| Classification | Breast Square shift | Classification Error (%)3.29 | 8 | |
| Out-of-distribution detection | BREAST (test) | AUROC0.903 | 7 | |
| Generic Graph Generation | BREAST (test) | Degree MMD0.036 | 7 | |
| Medical Image Classification | Breast Harmonic Mean | Accuracy50.3 | 6 | |
| Medical Image Classification | Breast Low-End Target | Accuracy57.2 | 6 | |
| Medical Image Classification | Breast High-End Source | Accuracy75.2 | 6 | |
| Medical Report Generation | Breast | BLEU-10.73 | 6 | |
| Missing Data Imputation | Breast UCI | AUROC0.993 | 6 | |
| Missing Data Imputation | Breast | RMSE0.0546 | 6 | |
| Medical Anomaly Segmentation | Breast | Dice Coefficient84.96 | 5 | |
| Active Prompting for Image Segmentation | Breast | Peak Normalized Delta IoU30.12 | 5 | |
| Spectral Clustering | BREAST CuMiDa 45827 | ARI77 | 5 |
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