面向大数据中基于云的图像集成相似度搜索

A. Tsymbal, E. Meissner, B. Kelm, Martin Kramer
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引用次数: 15

摘要

机构和个人积累的包含有价值甚至关键信息的数据量随着时间的推移而稳步增长,使及时获取这些信息变得复杂。这尤其关系到医疗保健领域。利用不断增加的数据量的一种方法是使用高级相似度搜索和基于案例检索的解决方案。在本文中,我们分享了将基于相似度搜索的临床决策支持系统Case Reasoner从独立桌面应用程序转换为基于web的移动解决方案的经验。特别考虑了患者相似性可视化和基于web的医学成像工具包的翻译。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Towards cloud-based image-integrated similarity search in big data
The volume of data accumulated by institutions and individuals and containing valuable and even critical information grows steadily with time complicating timely access to this information. In particular, this concerns the domain of healthcare. One approach to leverage the increasing amounts of data is to use advanced similarity search and case retrieval-based solutions. In this paper, we share our experience with translation of a similarity search-based clinical decision support system Case Reasoner from a standalone desktop application into a mobile Web-based solution. In particular, translation of patient similarity visualization and of a Web-based medical imaging toolkit are considered.
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