| 医学图像检索技术发展现状 |
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| 引用本文： | 于凡,万艳丽,胡红濮.医学图像检索技术发展现状[J].中华医学图书情报杂志,2017,26(7):31-35. |
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| 作者姓名： | 于凡 万艳丽 胡红濮 |
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| 作者单位： | 中国医学科学院医学信息研究所，北京100020,中国医学科学院医学信息研究所，北京100020,中国医学科学院医学信息研究所，北京100020 |
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| 基金项目： | 中央级公益性科研院所基本科研业务费项目“基于区域PACS系统的医学图像检索及其在智能辅助诊断中的应用研究”（2016ZX330013） |
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| 摘 要： | 在大数据技术和医院信息化快速发展的背景下，医学图像在医院诊疗活动中发挥着更加重要的角色，迫切需要建立一个高效、准确的医学图像检索系统。分别对基于文本、基于内容和基于语义的3种医学图像检索方法的关键技术进行详细论述和分析，并对医学图像检索技术的发展方向提出了展望。
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| 关 键 词： | 图像检索 视觉特征 语义特征 |
| 收稿时间： | 2017/6/6 0:00:00 |
| 修稿时间： | 2017/6/6 0:00:00 |
Current situation of medical imaging retrieval techniques |
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| YU Fan,WAN Yan-li and HU Hong-pu.Current situation of medical imaging retrieval techniques[J].Chinese Journal of Medical Library and Information Science,2017,26(7):31-35. |
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| Authors: | YU Fan WAN Yan-li and HU Hong-pu |
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| Institution: | Institute of Medical Information, Chinese Academy of Medical Sciences, Beijing 100020, China,Institute of Medical Information, Chinese Academy of Medical Sciences, Beijing 100020, China and Institute of Medical Information, Chinese Academy of Medical Sciences, Beijing 100020, China |
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| Abstract: | Medical imaging plays a more important role in diagnosis and treatment of diseases with the rapid development of big data technologies and hospital information systems. It is thus quite necessary to develop the effective and accurate medical imaging retrieval systems. The key techniques for text-based, contents-based and semantic-based medical imaging retrieval methods were thus elaborated and analyzed with the prospects put forward for the future development direction of medical imaging retrieval techniques. |
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| Keywords: | Imaging retrieval Visual characteristics Characteristics extraction |
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