BTCV
Benchmarks
| Task Name | Dataset Name | SOTA Result | Trend | |
|---|---|---|---|---|
| Abdominal multi-organ segmentation | BTCV | Spleen98.5 | 58 | |
| Multi-organ Segmentation | BTCV (test) | Spl97.8 | 55 | |
| Medical Image Segmentation | BTCV (test) | Dice Score89.07 | 28 | |
| Multi-organ Segmentation | BTCV | Spl Score95.44 | 22 | |
| Abdominal Organ Segmentation | BTCV (val) | Mean Dice85.64 | 17 | |
| Organ-presence classification | BTCV | AUROC97.2 | 16 | |
| Medical Image Segmentation | BTCV | Dice Coefficient94.27 | 15 | |
| Segmentation | BTCV | 1-shot Score78.72 | 13 | |
| Semantic Segmentation | BTCV (val) | DSC (Spl)91.4 | 12 | |
| Segmentation | BTCV (12% train) | Spleen Score88.6 | 11 | |
| Segmentation | BTCV 25% (train) | Sple94.5 | 11 | |
| Segmentation | BTCV 100% (train) | Spleen Segmentation Accuracy96.6 | 11 | |
| Kidney segmentation | BTCV cross-domain | Dice Coefficient49.2 | 10 | |
| Semantic Segmentation | BTCV 13 organs | Dice Coefficient86 | 8 | |
| Segmentation | BTCV (100% labels) | Dice Coefficient80.7 | 8 | |
| Organ-presence classification | BTCV (test) | AUROC97.2 | 6 | |
| Semantic Segmentation | BTCV | Average Score81.51 | 6 | |
| 3D Medical Image Segmentation | BTCV (test) | DICE81.66 | 6 | |
| Multi-organ Segmentation | BTCV (80/20 split) | Spl91.4 | 6 | |
| Multi-organ Segmentation | BTCV (5-fold cross-validation) | Spl92 | 5 | |
| Medical Image Segmentation | BTCV (external val) | Dice Score88.21 | 5 | |
| Abdominal Organ Segmentation | BTCV | Mean Dice54.4 | 2 | |
| Organ Segmentation | BTCV 34 (val) | Metric- | 0 |
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