发明申请
- 专利标题: AUTOMATIC ORGAN DETECTION USING MACHINE LEARNING AND CLASSIFICATION ALGORITHMS
- 专利标题(中): 使用机器学习和分类算法的自动机器检测
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申请号: US11747961申请日: 2007-05-14
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公开(公告)号: US20080154565A1公开(公告)日: 2008-06-26
- 发明人: Charles Florin , James Williams
- 申请人: Charles Florin , James Williams
- 申请人地址: US NJ Princeton
- 专利权人: Siemens Corporate Research, Inc.
- 当前专利权人: Siemens Corporate Research, Inc.
- 当前专利权人地址: US NJ Princeton
- 主分类号: G06G7/60
- IPC分类号: G06G7/60
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.
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