数据融合技术作为一种高效率、高准确率的信息处理技术正越来越受到重视.随着医疗卫生事业的发展,越来越多不同类型的传感器被用于医疗诊断设备,为了综合处理众多数据信息,需最大化利用多传感器协同工作原理,利用数据融合技术进行数据处理.本文就数据融合进行概念总结,根据不同的抽象层次将其分成数据级融合、特征级融合、决策级融合3类.医学图像融合及医疗监护系统是数据融合技术在医学领域中的重要应用,文中着重分析基于数据级融合的医学图像融合技术及基于特征级与决策级融合的医疗监护系统.数据融合技术在医学领域的应用,正积极推动医疗卫生事业的发展,使病症诊断和临床治疗更加及时、准确、有效.%Data fusion technology, as an information processing technology of high efficiency and high accuracy, is getting increasing attention. With the development of medical and health services, more various types of sensors are used in medical diagnostic equipments. In order to comprehensively process mass data information, it is necessary to adopt multisensory coordinated working principle and data fusion technology to process data. This article summarized the conceptual data fusion, and divided it into data-level fusion, feature-level fusion and decision-level fusion depending on different levels of abstraction. Medical image fusion and medical monitoring system are important applications of data fusion technology in the medical field. This article mainly analyzed the medical image fusion technology based on data-level fusion and medical monitoring system based on feature-level and decision-level fusion. The application of data fusion technology in medical field is promoting the development of medical and health services, which makes clinical diagnosis and treatment more timely, accurate and effective.
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