首页> 外文会议>International Conference on Computer Design(CDES'05); 20050627-30; Las Vegas,NV(US) >Building ML Applications in Science and technolog Implementing ML based methodolog to viewing anal sed medical data
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Building ML Applications in Science and technolog Implementing ML based methodolog to viewing anal sed medical data

机译:在科学技术中构建ML应用程序实施基于ML的方法以查看肛门医疗数据

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摘要

Building ML application in science and technology, especial for scientific data visualization, is always a challenge to scientists in medical science and computing science. This paper proposed an ML-based viewing methodology, SVG_(Scalable Vector Graphics), for presenting medical analysing data into web aware environment; and examined the appropriateness of using vector graphics through the introduction of SVG. The results demonstrated that the presenting quality of analyzed scientific graphs has been significantly improved. Finally, it concluded that the use of SVG creates new possibilities and pushes the accessibility of web based vector graphics to new boundaries.
机译:在科学技术中建立ML应用,尤其是在科学数据可视化方面,这一直是医学和计算机科学领域的科学家面临的挑战。本文提出了一种基于ML的查看方法SVG_(可缩放矢量图形),用于将医学分析数据呈现到网络感知环境中。并通过引入SVG来研究使用矢量图形的适当性。结果表明,已分析科学图表的呈现质量已得到明显改善。最后,得出的结论是,SVG的使用创造了新的可能性,并将基于Web的矢量图形的可访问性推向了新的边界。

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