AutoPET
Benchmarks
| Task Name | Dataset Name | SOTA Result | Trend | |
|---|---|---|---|---|
| Tumor Segmentation | AutoPET UKT (test) | DSC0.8622 | 16 | |
| Tumor Segmentation | AutoPET Imu (test) | DSC66.66 | 16 | |
| Semantic Segmentation | AutoPET | F1-score49 | 15 | |
| Tumor Segmentation | AutoPET II (test) | Dice0.6003 | 10 | |
| Medical Image Segmentation | AutoPET III | Dice88 | 4 | |
| Lesion tracking and evolution analysis | AutoPET IV clinical lung CT cohort v02 (test) | Precision Edge100 | 3 | |
| PET/CT Image Synthesis | AutoPET Female cohort - Kidneys | Metric- | 0 | |
| PET/CT Image Synthesis | AutoPET Male cohort - Kidneys | Metric- | 0 | |
| PET/CT Image Synthesis | AutoPET Female cohort - Heart | Metric- | 0 | |
| PET/CT Image Synthesis | AutoPET Male cohort - Heart | Metric- | 0 | |
| PET/CT Image Synthesis | AutoPET Female cohort - Liver | Metric- | 0 | |
| PET/CT Image Synthesis | AutoPET Male cohort - Liver | Metric- | 0 |
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