Liver
Benchmarks
| Task Name | Dataset Name | SOTA Result | Trend | |
|---|---|---|---|---|
| Early-stage tumor detection | Liver (test) | Sensitivity83.1 | 18 | |
| Super-Resolution | Liver | PSNR39.74 | 12 | |
| Medical Image Segmentation | liver | mIoU82.9 | 10 | |
| Early-stage tumor detection | Liver | Sensitivity82.2 | 9 | |
| Gene Representation Learning | Liver (test) | Average Score0.92 | 9 | |
| Gene embedding | Liver | Average Rank2.5 | 9 | |
| Cell-type annotation | Liver | Cluster-level Accuracy56 | 6 | |
| Classification | liver | Accuracy73.9 | 6 | |
| Classification | liver | Average Running Time (s)0.002 | 6 | |
| Medical Image Segmentation | Liver (external val) | DSC0.7738 | 6 | |
| Spectral Clustering | LIVER CuMiDa 76427 | ARI83.3 | 5 | |
| Spectral Clustering | LIVER CuMiDa 14520 | ARI85.9 | 5 | |
| Statistical Shape Modeling | Liver | SIM Generality Score18 | 4 | |
| 3D Shape Reconstruction | Liver 15 cases (test) | Mean Distance (mm)3.6 | 4 | |
| Binary Classification | Liver (UCI) (10-fold cross-validation) | AUC0.7 | 4 | |
| Trajectory reconstruction | Liver | Jaccard Index1 | 3 | |
| 3D Medical Image Segmentation | Liver CT | DSC96.21 | 3 | |
| 3D Medical Image Segmentation | Liver MR | DSC96.17 | 3 | |
| Tumor Segmentation | Liver (test) | DSC70.9 | 3 | |
| All-stage tumor segmentation | Liver | Metric- | 0 | |
| Dimension Reduction | Liver 76427 | Metric- | 0 | |
| Dimension Reduction | Liver 14520 | Metric- | 0 |
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