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 | 8 | |
| 3D Medical Image Segmentation | Parse 2022 | Dice Coefficient74.2 | 8 | |
| 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 | |
| 3D Graph Reconstruction | PARSE (test) | clDice57.03 | 3 | |
| 3D Vessel Segmentation | PARSE | Dice81.96 | 2 |
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