Güld Mark O, Thies Christian, Fischer Benedikt, Lehmann Thomas M
Department of Medical Informatics, Aachen University of Technology (RWTH), Pauwelsstr 30, D-52062 Aachen, Germany.
Int J Med Inform. 2007 Feb-Mar;76(2-3):252-9. doi: 10.1016/j.ijmedinf.2006.02.011.
This paper presents a technical framework to support the development and installation of system for content-based image retrieval in medical applications (IRMA). A strict separation of feature extraction, feature storage, feature comparison, and the user interfaces is suggested. This allows to reuse implemented components in different retrieval algorithms, which improves software quality, shortens the development cycle for applications, and allows to introduce standardized end-user interfaces. Based on the proposed framework, the IRMA engine has been established, which is currently used to evaluate content-based retrieval methods on a collection of 20,000 medical and 135,000 non-medical images.
本文提出了一个技术框架，以支持医学应用中基于内容的图像检索系统（IRMA）的开发与安装。建议将特征提取、特征存储、特征比较和用户界面严格分离。这使得在不同的检索算法中能够复用已实现的组件，从而提高软件质量，缩短应用程序的开发周期，并允许引入标准化的最终用户界面。基于所提出的框架，已建立了IRMA引擎，目前该引擎用于在一个包含20000张医学图像和135000张非医学图像的集合上评估基于内容的检索方法。
