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A cloud collaborative medical image platform oriented by social network

机译:面向社交网络的云协同医学影像平台

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Computer-aided diagnosis systems using medical images and three-dimensional models as input data have greatly expanded and developed, but in terms of building suitable image databases to assess them, the challenge remains. Although there are some image databases available for this purpose, they are generally limited to certain types of exams or contain a limited number of medical cases. The objective of this work is to present the concepts and the development of a collaborative platform for sharing medical images and three-dimensional models, providing a resource to share and increase the number of images available for researchers. The collaborative cloud platform, called CATALYZER, aims to increase the availability and sharing of graphic objects, including 3D images, and their reports that are essential for research related to medical images. A survey conducted with researchers and health professionals indicated that this could be an innovative approach in the creation of medical image databases, providing a wider variety of cases together with a considerable amount of shared information among its users.
机译:使用医学图像和三维模型作为输入数据的计算机辅助诊断系统已经大大扩展和发展,但是就建立合适的图像数据库进行评估而言,挑战仍然存在。尽管有一些图像数据库可用于此目的,但它们通常仅限于某些类型的检查或包含有限数量的医疗案例。这项工作的目的是介绍共享医学图像和三维模型的协作平台的概念和发展,为共享和增加可供研究人员使用的图像数量提供资源。名为CATALYZER的协作云平台旨在提高图形对象(包括3D图像)及其报告(对于医学图像相关研究必不可少的报告)的可用性和共享。与研究人员和卫生专业人员进行的一项调查表明,这可能是创建医学图像数据库的一种创新方法,可以提供更多种类的病例以及用户之间大量的共享信息。

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