Pancreas
Benchmarks
| Task Name | Dataset Name | SOTA Result | Trend | |
|---|---|---|---|---|
| coding-reasoning | Pancreas (test) | Success Rate39.28 | 18 | |
| 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 | |
| Statistical Shape Analysis | Pancreas | Contour Distance (CD)1.3 | 12 | |
| 3D Medical Image Segmentation | Pancreas 1.0 (20% labeled data) | Dice82.91 | 11 | |
| 3D CT Segmentation | Task07 Pancreas | Dice Similarity Coefficient (DSC)82.2 | 10 | |
| On-domain cell identity prediction | Pancreas | Macro F183 | 10 | |
| Medical Image Segmentation | Pancreas | DSC95.68 | 10 | |
| Spatial Gene Expression Prediction | Pancreas 2 | PCC (%)41.36 | 10 | |
| Spatial Gene Expression Prediction | Pancreas 1 | PCC24.48 | 10 | |
| 3D CT Reconstruction | Task07 Pancreas | PSNR40.43 | 9 | |
| Early-stage tumor detection | Pancreas | Sensitivity71.4 | 9 | |
| Gene Representation Learning | Pancreas (test) | Average Score80 | 9 | |
| Gene embedding | Pancreas | Avg Rank2.83 | 9 | |
| Non-rigid surface registration | Pancreas | ASSD (mm)0.415 | 6 | |
| Single-cell Integration | Pancreas 16k | Peak GPU Memory Usage (GB)0.8 | 5 | |
| Affine Surface Registration | Pancreas | ASSD (mm)5.381 | 5 | |
| Non-rigid Surface Registration | Pancreas | Runtime (s)1.4 | 4 | |
| Affine Surface Registration | Pancreas | Runtime (s)2.72 | 4 | |
| 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 |
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