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基于云计算的大规模医疗成像数据的策划,使用人工智能细分.

Vamsi Krishna Thiriveedhi1, Deepa Krishnaswamy1, David Clunie2

  • 1Brigham and Women's Hospital, Boston, MA.

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PubMed
概括

云计算使高效,大规模的医学图像分析成为可能. 这项研究使用了云资源来分析超过126,000个肺查CT扫描,以低成本在几个小时内完成任务.

科学领域:

  • 医疗成像医学成像
  • 人工智能的人工智能
  • 云计算 云计算 云计算 云计算
关键词:
在这里,我们可以看到AIAIAI.云计算是云计算中的一个.计算机断层扫描 (CT) 是一种计算机断层扫描.图像分割 图像细分 图像细分无线电学 (radiomics) 是一种无线电学.

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背景情况:

  • 医疗成像人工智能需要大量的计算能力,往往超过本地能力.
  • 云计算为苛刻的AI任务提供了可扩展和经济的解决方案.
  • 很少有研究评估医疗图像分析的云价格/性能.

结论:

  • 云计算为大规模医疗图像分析提供了具有成本效益和可扩展性的解决方案.
  • 开发了CloudSegmentator,这是一个用于可复制医疗图像计算的开源工作流.
  • 为优化医疗成像研究中的云资源利用提供了实用建议.