ACDC
Benchmarks
| Task Name | Dataset Name | SOTA Result | Trend | |
|---|---|---|---|---|
| Cardiac Segmentation | ACDC (test) | Avg Dice93.68 | 141 | |
| Medical Image Segmentation | ACDC (test) | Avg DSC94.88 | 135 | |
| Medical Image Segmentation | ACDC 100 patients total (test) | Dice Score92.9 | 70 | |
| Cardiac Segmentation | ACDC | DSC (Overall)92.18 | 55 | |
| Medical Image Segmentation | ACDC | DSC (Avg)92.23 | 48 | |
| Semantic Segmentation | ACDC (test) | mIoU77.91 | 47 | |
| Medical Image Segmentation | ACDC 10% labeled (test) | Dice91.85 | 40 | |
| Semantic Segmentation | ACDC (Night) | mIoU66.4 | 38 | |
| Cardiac Segmentation | ACDC-C (unseen test) | Dice Score84.08 | 36 | |
| Semantic Segmentation | ACDC (Rain) | mIoU75.3 | 31 | |
| Medical Image Segmentation | ACDC 5% labeled (test) | Dice0.8875 | 30 | |
| Medical Image Segmentation | ACDC (5% labeled) | DICE91.85 | 29 | |
| Semantic Segmentation | ACDC (val) | mIoU72 | 29 | |
| Semantic Segmentation | ACDC Snow | mIoU70.9 | 26 | |
| Medical Image Segmentation | ACDC (5-fold cross-validation) | Mean DSC0.898 | 26 | |
| Deformable Registration | ACDC (test) | Dice89.61 | 25 | |
| Semantic Segmentation | ACDC Fog | mIoU74.3 | 23 | |
| Segmentation | ACDC (test) | Dice91.65 | 22 | |
| Segmentation | ACDC (val) | Dice91.48 | 22 | |
| Semantic Segmentation | ACDC Snow (test) | mIoU76.21 | 20 | |
| Object Detection | ACDC Detection | mAP@0.5 (Fog)26.3 | 20 | |
| Medical Image Segmentation | ACDC Strong Base Nseg=5 | IoU77.3 | 19 | |
| Medical Image Segmentation | ACDC Weak Base Nseg=3 | IoU0.753 | 19 | |
| Cardiac Segmentation | ACDC 10% labeled scans | Dice90.27 | 19 | |
| Medical Image Segmentation | ACDC 2017 (test) | DSC91.29 | 18 |
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