Anomaly Detection on BrainMRI
0.977AUCAHL
Evaluation results
| Method | Links | ||
|---|---|---|---|
| AHLNumber of training anomaly examples=102025.02 | 0.977 | — | |
| DRAC (number of anomaly classes)=1, Training setting=ten random anomaly examples2022.03 | 0.97 | — | |
| DRAtraining_anomaly_examples=10, anomaly_classes=12022.03 | 0.97 | — | |
| DRANumber of training anomaly examples=102025.02 | 0.97 | — | |
| DPDLNumber of training anomaly examples=102025.02 | 0.969 | — | |
| MLEPNumber of training anomaly examples=102025.02 | 0.959 | — | |
| DevNetNumber of training anomaly examples=102025.02 | 0.958 | — | |
| FLOSNumber of training anomaly examples=102025.02 | 0.955 | — | |
| MINNSC (number of anomaly classes)=1, Training setting=ten random anomaly examples2022.03 | 0.943 | — | |
| SAOENumber of training anomaly examples=102025.02 | 0.9 | — | |
| DPDLNumber of training anomaly examples=12025.02 | 0.893 | — | |
| AHLNumber of training anomaly examples=12025.02 | 0.866 | — | |
| DeepSADC (number of anomaly classes)=1, Training setting=ten random anomaly examples2022.03 | 0.85 | — | |
| DRAtraining_anomaly_examples=1, anomaly_classes=12022.03 | 0.744 | — | |
| DRANumber of training anomaly examples=12025.02 | 0.744 | — | |
| KDADtraining_anomaly_examples=Unsupervised, anomaly_classes=12022.03 | 0.733 | — | |
| DevNetNumber of training anomaly examples=12025.02 | 0.694 | — | |
| FLOSNumber of training anomaly examples=12025.02 | 0.693 | — | |
| MLEPNumber of training anomaly examples=12025.02 | 0.632 | — | |
| SAOENumber of training anomaly examples=12025.02 | 0.531 | — | |
| BGADsetting=4-abnormal-shot2024.12 | — | 0.836 | |
| DRAsetting=4-abnormal-shot2024.12 | — | 0.806 | |
| MVFAsetting=4-abnormal-shot2024.12 | — | 0.924 | |
| UniVADsetting=4-abnormal-shot2024.12 | — | 0.941 |