自动化关节间隙检测可提高骨分割的准确性
787 次观看
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06:45 分钟
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2025年11月28日
DOI :10.3791/69252-v
2025年11月28日
•787 次观看
H. Mark Kenney1,2,3 , Daniel Lichau4 , Rémi Blanc4 , Lindsay Schnur1 , Richard D. Bell5 , Christopher T. Ritchlin1,3 , Edward M. Schwarz1,2,3,6,7,8 , Hani A. Awad1,7,8 , Ronald W. Wood1,6,9,10
1Center for Musculoskeletal Research, University of Rochester Medical Center, 2Department of Pathology & Laboratory Medicine, University of Rochester Medical Center, 3Department of Medicine, University of Rochester Medical Center, 4Thermo Fisher Scientific, 5Arthritis and Tissue Degeneration Program, Department of Research, Hospital for Special Surgery, 6Department of Urology, University of Rochester Medical Center, 7Department of Biomedical Engineering, University of Rochester Medical Center, 8Department of Orthopaedics, University of Rochester Medical Center, 9Department of Obstetrics and Gynecology, University of Rochester Medical Center, 10Department of Neuroscience, University of Rochester Medical Center
自动化关节间隙检测工作流程的开发实现了对野生型小鼠后肢足部骨骼的高通量分割，准确率超过>98%。该方法可灵活应用于前肢足部以及患有炎性侵蚀性关节炎的足部，但在这些情况下的性能有所下降，未来研究需利用公开数据进一步优化。
Chapters in this video
0:00
Introduction
0:37
Applying the Deep Learning-Assisted Bone Segmentation Workflow
2:14
Detailed Workflow Construction and Model Development
3:58
Training the Deep Learning Model
4:58
Results
6:20
Conclusion
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