首页> 外国专利> MACHINE LEARNING ON RAW MEDICAL IMAGING DATA FOR CLINICAL DECISION SUPPORT

MACHINE LEARNING ON RAW MEDICAL IMAGING DATA FOR CLINICAL DECISION SUPPORT

机译:机器学习原始医学影像数据以支持临床决策

摘要

Various embodiments of the present disclosure are directed to a raw diagnostic machine for a medical diagnosis of raw medical imaging data generated by a medical imaging machine as opposed to a medical diagnosis of a medical image conventionally reconstructed from the raw medical imaging data. In operation, the raw diagnostic engine includes a medical imaging diagnostic controller implementing a dimension reduction pre-processor for selecting or extracting one or more dimension reduced feature vectors from the raw medical imaging data, and further implementing a raw diagnostic artificial intelligence engine for rendering a diagnostic assessment of the raw medical imaging data as represented by the dimension reduced feature vector(s). The medical imaging diagnostic controller may further control a communication of the diagnostic assessment of the raw medical imaging data (e.g., a display, a printing, an emailing, a texting, etc.).
机译:本公开的各种实施例涉及一种用于对由医学成像机生成的原始医学成像数据进行医学诊断的原始诊断机,这与传统上从原始医学成像数据重建的医学图像的医学诊断相反。在操作中,原始诊断引擎包括医学成像诊断控制器,该医学成像诊断控制器实现了降维预处理器,用于从原始医学成像数据中选择或提取一个或多个降维特征向量,并进一步实现了原始诊断人工智能引擎,用于渲染图像。由降维特征向量表示的原始医学成像数据的诊断评估。医学成像诊断控制器可以进一步控制对原始医学成像数据的诊断评估的通信(例如,显示器,印刷品,电子邮件,发短信等)。

著录项

  • 公开/公告号EP3631808A1

    专利类型

  • 公开/公告日2020-04-08

    原文格式PDF

  • 申请/专利权人 KONINKLIJKE PHILIPS N.V.;

    申请/专利号EP20180730287

  • 发明设计人 SWISHER CHRISTINE MENKING;PIEN HOMER;

    申请日2018-05-30

  • 分类号G16H30/40;G16H50/20;

  • 国家 EP

  • 入库时间 2022-08-21 11:38:18

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