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AUTOMATIC ORGAN DETECTION USING MACHINE LEARNING AND CLASSIFICATION ALGORITHMS

机译:使用机器学习和分类算法的自动器官检测

摘要

A method and apparatus of visually depicting an organ, having the steps of choosing a predefined set features for analysis, the predefined set of features having distinguishing weak learners for an algorithm, wherein the predefined set of features and the weak learners chosen distinguish features of the organ desired to be represented, developing a strong classifier for the algorithm for the organ desired to be represented based upon the weak learners for the organ, one of conducing a body scan to produce a body scan data set and obtaining a body scan data set of information for a patient, applying the strong classifier and the algorithm to the body scan data set to develop a result of a representation of the organ and outputting the result of the step of applying of the strong classifier and the algorithm to the body scan data set to represent the organ.
机译:一种视觉上描绘器官的方法和装置,其具有选择用于分析的预定义集合特征的步骤,该预定义特征集合具有用于算法的区分弱学习者,其中,该预定义特征集合和所选择的弱学习者区分该特征。期望表示的器官,基于器官的弱学习者,为期望表示的器官的算法开发强分类器,包括进行身体扫描以产生身体扫描数据集和获取身体器官的数据集之一。对于患者的信息,将强分类器和算法应用于身体扫描数据集以显示器官的表示结果,并输出将强分类器和算法应用于身体扫描数据集的步骤的结果代表器官。

著录项

  • 公开/公告号US2008154565A1

    专利类型

  • 公开/公告日2008-06-26

    原文格式PDF

  • 申请/专利权人 CHARLES FLORIN;JAMES WILLIAMS;

    申请/专利号US20070747961

  • 发明设计人 CHARLES FLORIN;JAMES WILLIAMS;

    申请日2007-05-14

  • 分类号G06G7/60;

  • 国家 US

  • 入库时间 2022-08-21 20:14:04

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