Kidney
Benchmarks
| Task Name | Dataset Name | SOTA Result | Trend | |
|---|---|---|---|---|
| Gene expression prediction | Kidney | MSE0.4067 | 32 | |
| Classification | Kidney | AUROC100 | 19 | |
| Image-level Target Presence Detection | Kidney (test) | Precision96.5 | 13 | |
| Pixel-level Segmentation | Kidney (test) | Dice87.6 | 13 | |
| Super-Resolution | Kidney | PSNR38.28 | 12 | |
| Medical Image Segmentation | Right Kidney | DSC98.34 | 10 | |
| Gene Representation Learning | Kidney (test) | Average Score89 | 9 | |
| Gene embedding | Kidney | Average Rank2.83 | 9 | |
| Spatial Gene Expression Prediction | Kidney (test) | PCC-500.428 | 7 | |
| Per-Batch Individual Proportionality (BATCH-IP) | Kidney | Proportionality Level115 | 5 | |
| Long-run Individual Proportionality (LONG-IP) | Kidney | Proportionality Level135 | 5 | |
| Proportionality Level Evaluation | Kidney 2D n=404, d=8 | IP (long)76 | 5 | |
| Model Discovery | Kidney | NLL (Model Prior)43.58 | 4 |
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