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Service-oriented Visualization Applied To Medical Data Analysis

机译:面向服务的可视化在医学数据分析中的应用

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With the era of Grid computing, data driven experiments and simulations have become very advanced and complicated. To allow specialists from various domains to deal with large datasets, aside from developing efficient extraction techniques, it is necessary to have available computational facilities to visualize and interact with the results of an extraction process. Having this in mind, we developed an Interactive Visualization Framework, which supports a service-oriented architecture. This framework allows, on one hand visualization experts to construct visualizations to view and interact with large datasets, and on the other hand end-users (e.g., medical specialists) to explore these visualizations irrespective of their geographical location and available computing resources. The image-based analysis of vascular disorders served as a case study for this project. The paper presents main research findings and reports on the current implementation status.
机译:随着网格计算时代的到来,数据驱动的实验和仿真已经变得非常先进和复杂。为了使来自各个领域的专家能够处理大型数据集,除了开发有效的提取技术外,还必须拥有可用的计算工具以可视化提取过程的结果并与之交互。考虑到这一点,我们开发了一个交互式可视化框架,该框架支持面向服务的体系结构。该框架一方面允许可视化专家构建可视化以查看大型数据集并与之交互,另一方面,最终用户(例如医学专家)无论其地理位置和可用的计算资源如何都可以探索这些可视化。基于图像的血管疾病分析作为该项目的案例研究。本文介绍了主要的研究成果并报告了当前的实施状况。

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