Cloud Colonography is proposed in this paper, using different types of cloud computing environments. Databases from the Computed Tomographic Colonography (CTC) screening tests among several hospitals are explored. These networked databases are going to be available in the near future via cloud computing technologies. Associated Multiple Databases (AMD) was developed in this study to handle multiple CTC databases. When AMD is used for assembling databases, it can achieve very high classification accuracy. The proposed AMD has the potential to play a role of the core classifier in the cloud computing framework. AMD for multiple institutions databases yields high detection performance of polyps using Kernel principal component analysis (KPCA). Two cases in the proposed cloud platform are private and public. We adapted a university cluster as a private platform, and Amazon Elastic Compute Cloud (EC2) as a public. The computation time, memory usage, and running costs were compared using three representative databases between private and public cloud environments. The proposed parallel processing modules improved the computation time, especially in the public cloud environments. The successful development of a cloud computing environment that handles large amounts of data will make Cloud Colonography feasible for a new health care service.

中文翻译：

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云结肠成像：基于云的分布式医学测试平台

本文提出了 Cloud Colonography，使用不同类型的云计算环境。探索了来自几家医院的计算机断层扫描结肠成像 (CTC) 筛查测试的数据库。这些网络数据库将在不久的将来通过云计算技术提供。本研究中开发了关联的多个数据库 (AMD) 来处理多个 CTC 数据库。AMD用于组装数据库时，可以达到非常高的分类精度。提议的 AMD 有潜力在云计算框架中扮演核心分类器的角色。多机构数据库的 AMD 使用内核主成分分析 (KPCA) 产生高息肉检测性能。提议的云平台中有两种情况是私有的和公共的。我们将大学集群改编为私有平台，将 Amazon Elastic Compute Cloud (EC2) 改编为公共平台。使用私有云和公共云环境之间的三个代表性数据库比较了计算时间、内存使用和运行成本。提议的并行处理模块改善了计算时间，尤其是在公共云环境中。处理大量数据的云计算环境的成功开发将使云结肠造影术适用于新的医疗保健服务。尤其是在公共云环境中。处理大量数据的云计算环境的成功开发将使云结肠造影术适用于新的医疗保健服务。尤其是在公共云环境中。处理大量数据的云计算环境的成功开发将使云结肠造影术适用于新的医疗保健服务。