AutoPET
Benchmarks
| Task Name | Dataset Name | SOTA Result | Trend | |
|---|---|---|---|---|
| Segmentation | AutoPET | Dice Score70.2 | 25 | |
| Segmentation | AutoPET-II | Dice62.51 | 21 | |
| Medical Image Segmentation | AutoPET-II | Peak GPU Memory Usage (Training)488 | 17 | |
| Medical Image Segmentation | AutoPET-II | ThrG Score390.91 | 17 | |
| Tumor Segmentation | AutoPET UKT (test) | DSC0.8622 | 16 | |
| Tumor Segmentation | AutoPET Imu (test) | DSC66.66 | 16 | |
| Semantic Segmentation | AutoPET | F1-score49 | 15 | |
| Whole-body lesion segmentation | AutoPET III (test) | Dice Score (All)82 | 12 | |
| Image Synthesis | AutoPET Whole-Body, PET to CT | PSNR30.09 | 12 | |
| Image Synthesis | AutoPET Whole-Body CT to PET | PSNR30.27 | 12 | |
| PET to CT Image Synthesis | AutoPET Whole-Body | MAE1.81 | 12 | |
| CT to PET Image Synthesis | AutoPET Whole-Body | MAE1.57 | 12 | |
| Interactive Segmentation | AutoPET-Organ (unseen out-of-distribution) | Liver Performance83.75 | 12 | |
| Tumor Segmentation | AutoPET unseen out-of-distribution | Tumor DSC40.91 | 12 | |
| Organ Segmentation | AutoPET 1.0 (20 Labeled Cases) | Dice Coefficient49.56 | 10 | |
| Organ Segmentation | AutoPET 1.0 (10 Labeled Cases) | Dice49.12 | 10 | |
| Organ Segmentation | AutoPET 5 Labeled Cases 1.0 | Dice46.93 | 10 | |
| Tumor Segmentation | AutoPET II (test) | Dice0.6003 | 10 | |
| Lesion Tracking | autoPET IV (test) | DSC73.7 | 8 | |
| Prostate Carcinoma Segmentation | AutoPET-PSMA | PCa DSC0.5759 | 7 | |
| Organ Segmentation | AutoPET | Avg DSC91.05 | 6 | |
| 3D Segmentation | AutoPET II | DSC60.5 | 5 | |
| Organ Segmentation | AutoPET Registrated CT | Avg DSC88.71 | 4 | |
| Medical Image Segmentation | AutoPET III | Dice88 | 4 | |
| Lesion tracking and evolution analysis | AutoPET IV clinical lung CT cohort v02 (test) | Precision Edge100 | 3 |
Showing 25 of 32 rows