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公开(公告)号:US09940545B2
公开(公告)日:2018-04-10
申请号:US14032791
申请日:2013-09-20
CPC分类号: G06K9/6224 , A61B5/7264 , G06K9/4614 , G06K9/6267 , G06K9/6282 , G06K2209/05 , G06T7/0012 , G06T2207/20081
摘要: A method, apparatus and computer program product are hereby provided to detect anatomical elements in a medical image. In this regard, the method, apparatus, and computer program product may receive a test image and generate a classified image by applying an image classifier to the test image. The image classifier may include at least one decision tree for evaluating at least one pixel value of the test image and the classified image may include a plurality of pixel values. Each pixel value may be associated with a probability that an anatomical element is located at the pixel location. The method, apparatus, and computer program product may also evaluate the classified image using an anatomical model to detect at least one anatomical element within the classified image.
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公开(公告)号:US20170286598A1
公开(公告)日:2017-10-05
申请号:US15086725
申请日:2016-03-31
CPC分类号: G06F19/321 , G06F19/00 , G06T7/0012 , G06T7/73 , G06T2207/10081 , G06T2207/10088 , G06T2207/30204 , G16H50/50
摘要: A method, image processing system and computer program product are provided for detecting an anatomical marker within an image study. In the context of a method, data elements associated with image slices of the image study of a patient are accessed. The data elements are representative of one or more characteristics of the image slices, but do not include picture elements that comprise the image slices. The method also includes reviewing the data elements associated with at least some image slices of the image study of the patient. The method further includes detecting the anatomical marker within the image study based upon a review of the data elements and identifying a subset of the image slices of the image study based upon the anatomical marker or a distance from the anatomical marker.
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公开(公告)号:US09933849B2
公开(公告)日:2018-04-03
申请号:US14228779
申请日:2014-03-28
CPC分类号: G06F3/013 , G06F3/14 , G06F19/00 , G06F19/321 , G06K9/0061 , G06K9/3233 , G09G5/10 , G09G2320/0261 , G09G2320/0271 , G09G2320/0686 , G09G2380/08 , G16H30/20 , G16H40/63
摘要: A method, a computing device and a computer program product are provided in order to automatically apply window leveling to an image, such as a medical image. In the context of a method, a gaze location within an image is determined based upon a determination that a user is staring at the gaze location. The method also determines a region of interest within the image based upon the gaze location and determines pixel values for pixels within the region of interest. The method also establishes window level values based upon the pixel values for pixels within the region of interest and applies window leveling based upon the window level values established based upon the pixel values for pixels within the region of interest.
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公开(公告)号:US09858892B2
公开(公告)日:2018-01-02
申请号:US14229331
申请日:2014-03-28
发明人: Mahmoud Ramze Rezaee
CPC分类号: G09G5/10 , G06F19/00 , G06F19/321 , G09G5/00 , G09G2320/0271 , G09G2320/0606 , G09G2320/0673 , G09G2340/14 , G09G2360/16 , G09G2380/08
摘要: A method, a computing device and a computer program product are provided to identify an instance in which a pixel visibility loss condition exists following window leveling. In the context of a method, window and level values and corresponding minimum and maximum values for a window are identified. The method then determines whether the pixel visibility loss condition exists based upon one or more of the window and level values, the minimum value or the maximum value. In this regard, the method determines whether a pixel visibility loss condition exists by determining whether there is a gray scale loss, a gray scale compression or a lack of perceptible distinctiveness between pixels within the window. In an instance in which the pixel visibility loss condition exists, the method causes an indication to be provided to a user.
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