Pancreas
Benchmarks
| Task Name | Dataset Name | SOTA Result | Trend | |
|---|---|---|---|---|
| Early-stage tumor detection | Pancreas (test) | Sensitivity0.795 | 18 | |
| 3D Medical Image Segmentation | Pancreas 1.0 (10% labeled data) | Dice Coefficient0.8021 | 17 | |
| Sparse-view metal artifact removal | Pancreas (test) | PSNR41.17 | 15 | |
| 3D Medical Image Segmentation | Pancreas 1.0 (20% labeled data) | Dice82.91 | 11 | |
| Early-stage tumor detection | Pancreas | Sensitivity71.4 | 9 | |
| Gene Representation Learning | Pancreas (test) | Average Score80 | 9 | |
| Gene embedding | Pancreas | Avg Rank2.83 | 9 | |
| Statistical Shape Analysis | Pancreas | Contour Distance (CD)1.9 | 5 | |
| Gene Rank Reconstruction | Pancreas | L-Distance12 | 3 | |
| 3D Medical Image Segmentation | Pancreas CT | DSC0.838 | 3 | |
| 3D Medical Image Segmentation | Pancreas MR | DSC85.16 | 3 | |
| Tumor Segmentation | Pancreas (test) | DSC (%)0.648 | 3 | |
| 3D Medical Image Segmentation | Pancreas | DSC0.826 | 2 | |
| Statistical Shape Analysis | Pancreas (test) | Contour Distance (CD)- | 0 | |
| All-stage tumor segmentation | Pancreas | Metric- | 0 |
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