| 余可妍,张晓东.深度学习在影像学诊断膝关节病变中的应用进展[J].中国医学影像技术,2021,37(10):1563~1566 |
| 深度学习在影像学诊断膝关节病变中的应用进展 |
| Research progresses of deep learning in imaging diagnosis of knee joint lesions |
| 投稿时间：2020-07-14 修订日期：2021-06-06 |
| DOI：10.13929/j.issn.1003-3289.2021.10.030 |
| 中文关键词: 膝关节 深度学习 |
| 英文关键词:knee joint deep learning |
| 基金项目: |
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| 中文摘要: |
| 膝关节为骨关节炎主要好发部位。深度学习（DL）为医学图像分析的新方法之一，已广泛用于分割膝关节结构、检测病灶、自动分级及预测膝关节骨性关节炎进展。本文就DL在影像学诊断膝关节病变中的研究进展进行综述。 |
| 英文摘要: |
| The knee joint is the main site for osteoarthritis. As a new technology of analysis of medical images, deep learning (DL) has been widely used in the construction segmentation of knee joint, detection of lesions and automatic scoring of lesions, as well as predicting the development of knee osteoarthritis. The research progresses of DL in imaging diagnosis of knee joint lesions were reviewed in this article. |
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