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1.发明申请Systems and Methods for Robust Learning Based Annotation of Medical Radiographs 有权用于健康学习的系统和方法基于医学影像学的注释公开(公告)号：US20100284590A1
公开(公告)日：2010-11-11
申请号：US12787916
申请日：2010-05-26
申请人： Zhigang Peng , Yimo Tao , Xiang Sean Zhou , Yiqiang Zhan , Arun Krishnan
发明人： Zhigang Peng , Yimo Tao , Xiang Sean Zhou , Yiqiang Zhan , Arun Krishnan
CPC分类号： A61B6/032 , A61B6/469 , A61B6/488 , G06K9/3233 , G06K9/6231 , G06K9/6267 , G06K2209/05 , G06T7/12 , G06T7/73 , G06T2207/10081 , G06T2207/20104 , G06T2207/20164 , G06T2207/30048
摘要： Systems and methods for performing a medical imaging study include acquiring a preliminary scan. A set of local feature candidates is automatically detected from the preliminary scan. The accuracy of each local feature candidate is assessed using multiple combinations of the other local feature candidates and removing a local feature candidate that is assessed to have the lowest accuracy. The assessing and removing steps are repeated until only a predetermined number of local feature candidates remain. A region of interest (ROI) is located from within the preliminary scan based on the remaining predetermined number of local feature candidates. A medical imaging study is performed based on the location of the ROI within the preliminary scan.
摘要翻译： 用于执行医学成像研究的系统和方法包括获取初步扫描。 从初步扫描中自动检测一组本地特征候选。 使用其他本地特征候选者的多个组合来评估每个本地特征候选者的准确性，并且去除被评估为具有最低精度的局部特征候选。 重复评估和去除步骤，直到仅保留预定数量的局部特征候选。 感兴趣区域（ROI）基于剩余的预定数量的局部特征候选位于初步扫描内。 基于初步扫描中ROI的位置执行医学成像研究。
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2.发明授权Systems and methods for robust learning based annotation of medical radiographs 有权用于健康学习的医学放射照片注释的系统和方法公开(公告)号：US08369593B2
公开(公告)日：2013-02-05
申请号：US12787916
申请日：2010-05-26
申请人： Zhigang Peng , Yimo Tao , Xiang Sean Zhou , Yiqiang Zhan , Arun Krishnan
发明人： Zhigang Peng , Yimo Tao , Xiang Sean Zhou , Yiqiang Zhan , Arun Krishnan
CPC分类号： A61B6/032 , A61B6/469 , A61B6/488 , G06K9/3233 , G06K9/6231 , G06K9/6267 , G06K2209/05 , G06T7/12 , G06T7/73 , G06T2207/10081 , G06T2207/20104 , G06T2207/20164 , G06T2207/30048
摘要： Systems and methods for performing a medical imaging study include acquiring a preliminary scan. A set of local feature candidates is automatically detected from the preliminary scan. The accuracy of each local feature candidate is assessed using multiple combinations of the other local feature candidates and removing a local feature candidate that is assessed to have the lowest accuracy. The assessing and removing steps are repeated until only a predetermined number of local feature candidates remain. A region of interest (ROI) is located from within the preliminary scan based on the remaining predetermined number of local feature candidates. A medical imaging study is performed based on the location of the ROI within the preliminary scan.
摘要翻译： 用于执行医学成像研究的系统和方法包括获取初步扫描。 从初步扫描中自动检测一组本地特征候选。 使用其他本地特征候选者的多个组合来评估每个本地特征候选者的准确性，并且去除被评估为具有最低精度的局部特征候选。 重复评估和去除步骤，直到仅保留预定数量的局部特征候选。 感兴趣区域（ROI）基于剩余的预定数量的局部特征候选位于初步扫描内。 基于初步扫描中ROI的位置执行医学成像研究。
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