PARSE
Benchmarks
| Task Name | Dataset Name | SOTA Result | Trend | |
|---|---|---|---|---|
| 3D Vessel Segmentation | Parse 2022 (test) | DSC76.39 | 13 | |
| Vessel Segmentation | PARSE 2022 (test) | Dice84.86 | 11 | |
| Vessel Graph Extraction | Parse 2022 | Betti-0 Count410.1 | 11 | |
| Vessel Segmentation | Parse 2022 | Dice86.84 | 8 | |
| 3D Medical Image Segmentation | Parse 2022 | Dice Coefficient74.2 | 8 | |
| Single-cell gene expression generation | Parse 1M | R2 Mean3.4 | 7 | |
| Conditional cell generation | Parse 1M | W217.99 | 7 | |
| Conditional Cell Generation | Parse 1M (test) | W211.836 | 7 | |
| 3D Reconstruction | PARSE | Chamfer Distance (CD)0.296 | 6 | |
| Scene Graph Generation | PARSE-10K (test) | Recall (BBox Match)73.2 | 6 | |
| Part-level Contact MCQ | PARSE-10K (test) | Accuracy86.2 | 6 | |
| Perturbation Prediction | Parse signaling perturbations (unseen interventions) | Pearson Correlation0.67 | 5 | |
| Blood Vessel Reconstruction | PARSE 2022 (8885) | Dice Score65.16 | 4 | |
| Centerline Extraction | Parse 2022 (test) | rAP (%)53.68 | 4 | |
| Pulmonary Artery Segmentation | PARSE 2022 (val) | Main Artery 25pc Accuracy91.73 | 4 | |
| Point-level Tubular Structure Extraction | Parse 2022 | Precision55.27 | 3 | |
| 3D Graph Reconstruction | PARSE (test) | clDice57.03 | 3 | |
| cell reconstruction | Parse 1M | Reconstruction Error (RE)150.47 | 2 | |
| 3D Vessel Segmentation | PARSE | Dice81.96 | 2 |
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