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Surgical Phase Recognition On Heichole
Metrics
F1
Results
Performance results of various models on this benchmark
| Paper Title | Repository | ||
|---|---|---|---|
| MuST | 77.25 | MuST: Multi-Scale Transformers for Surgical Phase Recognition | |
| CAMMA1 (challenge model) | 68.8 | Comparative Validation of Machine Learning Algorithms for Surgical Workflow and Skill Analysis with the HeiChole Benchmark | - |
| HIKVision (challenge model) | 65.4 | Comparative Validation of Machine Learning Algorithms for Surgical Workflow and Skill Analysis with the HeiChole Benchmark | - |
| CUHK (challenge model) | 65 | Comparative Validation of Machine Learning Algorithms for Surgical Workflow and Skill Analysis with the HeiChole Benchmark | - |
| MoCo V2 Surg SSL - TCN head | 64.7 | Dissecting Self-Supervised Learning Methods for Surgical Computer Vision |
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