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在6年内预测膝关节骨关节炎的关节空间变化:TransUNet和XGBoost的组合模型

Jiangrong Guo1, Pengfei Yan2, Hao Luo2

  • 1Department of Orthopedics and Sports Medicine, The Second Affiliated Hospital of Harbin Medical University, Harbin, China.

Quantitative imaging in medicine and surgery
|February 25, 2025
PubMed
概括

这项研究开发了一种准确的深度学习模型,用于测量膝关节关节空间宽度 (JSW) 并预测其未来的变化. 综合TransUNet和XGBoost模型显示高精度,即使在有限的成像数据.

关键词:
骨关节炎是一种骨关节炎.深度学习 (DL) 是指深度学习.联合空间宽度 (JSW)机器学习是机器学习.预测模型 预测模型

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