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1. 发明授权

US07949167B2 Automatic learning of image features to predict disease 有权
标题翻译：自动学习图像特征预测疾病
公开(公告)号：US07949167B2
公开(公告)日：2011-05-24
申请号：US12427974
申请日：2009-04-22
申请人： Arun Krishnan , Xiang Zhou , Martin Huber , Michael Kelm , Joerg Freund
发明人： Arun Krishnan , Xiang Zhou , Martin Huber , Michael Kelm , Joerg Freund
IPC分类号： G06K9/00 , A61B6/00 , A61B5/00
CPC分类号： G06T7/11 , G06F19/00 , G06T7/0012 , G06T2207/20081 , G16H50/70
摘要： A method for training a computer system for automatic detection of regions of interest includes receiving patient records. For each of the received patient records a text field and a medical image are identified from within the patient record and the medical image is automatically segmented to identify a structure of interest. The text field is searched for one or more keywords indicative of a particular abnormality associated with the structure of interest. The medical image is added to a grouping representing the particular abnormality when the text field indicates that the patient has the particular abnormality and the medical image is added to a grouping representing the absence of the particular abnormality when the text field does not indicate that the patient has the particular abnormality. The groupings of medical images are used to automatically train a computer system for the subsequent detection of the particular abnormality.
摘要翻译：用于训练用于感兴趣区域的自动检测的计算机系统的方法包括接收患者记录。对于每个接收到的患者记录，从患者记录中识别文本字段和医学图像，并且医疗图像被自动分段以识别感兴趣的结构。搜索文本字段以查找指示与感兴趣结构相关联的特定异常的一个或多个关键字。当文本字段指示患者具有特定异常并将医学图像添加到代表不存在特定异常的分组时，医疗图像被添加到表示特定异常的分组中，当文本字段没有指示患者有特殊的异常。医学图像的分组用于自动训练计算机系统以便随后检测特定的异常。

2. 发明申请

US20090310836A1 Automatic Learning of Image Features to Predict Disease 有权
标题翻译：自动学习图像特征预测疾病
公开(公告)号：US20090310836A1
公开(公告)日：2009-12-17
申请号：US12427974
申请日：2009-04-22
申请人： Arun Krishnan , Xiang Zhou , Martin Huber , Michael Kelm , Joerg Freund
发明人： Arun Krishnan , Xiang Zhou , Martin Huber , Michael Kelm , Joerg Freund
IPC分类号： G06K9/62 , G06K9/00
CPC分类号： G06T7/11 , G06F19/00 , G06T7/0012 , G06T2207/20081 , G16H50/70
摘要： A method for training a computer system for automatic detection of regions of interest includes receiving patient records. For each of the received patient records a text field and a medical image are identified from within the patient record and the medical image is automatically segmented to identify a structure of interest. The text field is searched for one or more keywords indicative of a particular abnormality associated with the structure of interest. The medical image is added to a grouping representing the particular abnormality when the text field indicates that the patient has the particular abnormality and the medical image is added to a grouping representing the absence of the particular abnormality when the text field does not indicate that the patient has the particular abnormality. The groupings of medical images are used to automatically train a computer system for the subsequent detection of the particular abnormality.
摘要翻译：用于训练用于感兴趣区域的自动检测的计算机系统的方法包括接收患者记录。对于每个接收到的患者记录，从患者记录中识别文本字段和医学图像，并且医疗图像被自动分段以识别感兴趣的结构。搜索文本字段以查找指示与感兴趣结构相关联的特定异常的一个或多个关键字。当文本字段指示患者具有特定异常并将医学图像添加到代表不存在特定异常的分组时，医疗图像被添加到表示特定异常的分组中，当文本字段没有指示患者有特殊的异常。医学图像的分组用于自动训练计算机系统以便随后检测特定的异常。

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