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Medical Image Dynamic Collaborative Processing on the Distributed Environment

机译:分布式环境下的医学图像动态协同处理

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A new trend in the development of medical image processing systems is to enhance the sharing of medical resources and the collaborative processing of medical specialists. This paper presents an architecture of medical image dynamic collaborative processing on the distributed environment by combining the JAVA, CORBA (Common Object Request and Broker Architecture) and the MAS (Multi-Agents System) collaborative mechanism. The architecture allows medical specialists or applications to share records and communicate with each other on the web by overcoming the shortcut of traditional approach using Common Gateway Interface (CGI) and client/server architecture, and can support the remote heterogeneous systems collaboration. The new approach improves the collaborative processing of medical data and applications and is able to enhance the interoperation among heterogeneous system. Research on the system will help the collaboration and cooperation among medical application systems distributed on the web, thus supply high quality medical service such as diagnosis and therapy to practicing specialists regardless of their actual geographic location.
机译:医学图像处理系统发展的新趋势是加强医学资源的共享和医学专家的协作处理。通过结合JAVA,CORBA(公共对象请求和代理体系结构)和MAS(多代理系统)协作机制,提出了一种分布式环境下医学图像动态协作处理体系结构。通过克服使用通用网关接口(CGI)和客户端/服务器体系结构的传统方法的捷径,该体系结构允许医学专家或应用程序在网络上共享记录并相互通信,并且可以支持远程异构系统协作。新方法改善了医疗数据和应用程序的协作处理,并能够增强异构系统之间的互操作性。对系统的研究将有助于在Web上分发的医疗应用系统之间的协作与合作,从而为实践专家提供高质量的医疗服务,例如诊断和治疗,无论他们身在何处。

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