首页 | 官方网站   微博 | 高级检索  
     

基于知识的放射治疗技术研究
引用本文:陈思佳,石丽婉,林勤. 基于知识的放射治疗技术研究[J]. 中国医学物理学杂志, 2020, 37(11): 1350-1355. DOI: DOI:10.3969/j.issn.1005-202X.2020.11.002
作者姓名:陈思佳  石丽婉  林勤
作者单位:厦门大学附属第一医院肿瘤放疗科, 福建 厦门 361000
摘    要:文章介绍了基于知识的放射治疗技术(KBRT)相关概念和KBRT技术的实现方法,重点介绍了KBRT中的特征检索法以及在机器学习上的应用。随后回顾了当前KBRT在多部位肿瘤放疗中的应用及对于剂量学评价标准的改进、KBRT模型相关参数和离群值的研究以及KBRT与多种放疗技术相结合等研究热点。文章还指出了KBRT技术在现阶段遇到的问题和挑战,从而进一步提出了KBRT在今后研究中的发展方向,并对KBRT在多中心合作、自适应放疗以及在机器学习方法的深入研究等相关话题展开讨论。

关 键 词:基于知识的放射治疗技术  机器学习  人工智能  综述

Research on knowledge-based radiation therapy
CHEN Sijia,SHI Liwan,LIN Qin. Research on knowledge-based radiation therapy[J]. Chinese Journal of Medical Physics, 2020, 37(11): 1350-1355. DOI: DOI:10.3969/j.issn.1005-202X.2020.11.002
Authors:CHEN Sijia  SHI Liwan  LIN Qin
Affiliation:Department of Radiotherapy, the First Affiliated Hospital of Xiamen University, Xiamen 361000, China
Abstract:Abstract: This paper introduces the related concepts of knowledge-based radiation therapy (KBRT) and the implementation methods of KBRT technology, with emphasis on the featured retrieval method in KBRT and its application in machine learning. This paper then reviews some research hotspots such as the current application of KBRT in different kinds of tumor radiotherapy, the improvement of dosimetric evaluation standards, the study of related parameters and outliers of KBRT model, and the combination of several radiotherapy technologies. This paper also points out the problems and challenges encountered in the current stage of KBRT technology, thus further suggesting the development direction of KBRT in future research and discussing the related topics such as KBRT in multicenter cooperation, adaptive radiotherapy and in-depth study of machine learning methods.
Keywords:Keywords: knowledge-based radiation therapy machine learning artificial intelligence review
点击此处可从《中国医学物理学杂志》浏览原始摘要信息
点击此处可从《中国医学物理学杂志》下载免费的PDF全文
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司    京ICP备09084417号-23

京公网安备 11010802026262号