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1. 发明授权

US09367913B2 Choosing anatomical variant model for image segmentation 有权
标题翻译：选择图像分割的解剖变异模型
公开(公告)号：US09367913B2
公开(公告)日：2016-06-14
申请号：US13823472
申请日：2011-09-13
申请人： Cristian Lorenz , Hans Barschdorf , Tobias Klinder , Raghed Hanna
发明人： Cristian Lorenz , Hans Barschdorf , Tobias Klinder , Raghed Hanna
IPC分类号： G06T7/00 , G06T17/00 , G06T15/08
CPC分类号： G06T7/0012 , G06T7/12 , G06T7/149 , G06T15/08 , G06T17/00 , G06T2207/30004
摘要： A system (100) for segmenting an object in an image adapts a first model for segmenting the object to the image. A feature is extracted from the image based on the adapted first model. A second model is selected for segmenting the object from a plurality of models for segmenting the object, based on the feature extracted from the image. The second model includes additional detail of the object. The second model is utilized based on the adapted first model and/or the feature extracted from the image; the initialized second model is adapted to the image. The features extracted from the image based on the adapted first model help the system (100) to select the second model for segmenting the object from a plurality of models for segmenting the object. The adapted first model and/or the extracted features are also used for initializing the second model. Because the second model includes the additional detail of the object, the segmentation result using the second model is more complete than the segmentation result Obtained using the first model. Moreover, the initialization of the second model based on the adapted first model and/or the detected features Improves the accuracy of the second model adaptation.
摘要翻译：用于在图像中分割对象的系统（100）适应用于将对象分割成图像的第一模型。基于适配的第一模型从图像中提取特征。基于从图像提取的特征，选择第二模型用于从多个模型分割对象以分割对象。第二个模型包括对象的附加细节。基于适应的第一模型和/或从图像提取的特征来利用第二模型; 初始化的第二模型适用于图像。基于适配的第一模型从图像提取的特征帮助系统（100）选择用于从多个模型分割对象的第二模型以分割对象。适应的第一模型和/或提取的特征也用于初始化第二模型。因为第二个模型包括对象的附加细节，所以使用第二模型的分割结果比使用第一模型获得的分割结果更完整。此外，基于适配的第一模型和/或检测到的特征对第二模型的初始化提高了第二模型适应的准确性。

2. 发明申请

US20130286013A1 CHOOSING ANATOMICAL VARIANT MODEL FOR IMAGE SEGMENTATION 有权
标题翻译：选择用于图像分割的解剖学变体模型
公开(公告)号：US20130286013A1
公开(公告)日：2013-10-31
申请号：US13823472
申请日：2011-09-13
申请人： Cristian Lorenz , Hans Barschdorf , Tobias Klinder , Raghed Hanna
发明人： Cristian Lorenz , Hans Barschdorf , Tobias Klinder , Raghed Hanna
IPC分类号： G06T7/00 , G06T17/00
CPC分类号： G06T7/0012 , G06T7/12 , G06T7/149 , G06T15/08 , G06T17/00 , G06T2207/30004
摘要： The invention relates to a system (100) for segmenting an object in an image, comprising a first adapter (110) for adapting a first model for segmenting the object to the image, an analyzer (115) for extracting a feature from the image based on the adapted first model, a selector (120) for selecting a second model for segmenting the object from a plurality of models for segmenting the object, based on the feature extracted from the image, wherein the second model comprises additional detail of the object, an initializer (125) for initializing the second model based on the adapted first model and/or the feature extracted from the image, and a second adapter (130) for adapting the initialized second model to the image. The features extracted from the image based on the adapted first model help the system (100) to select the second model for segmenting the object from a plurality of models for segmenting the object. The adapted first model and/or the extracted features are also used for initializing the second model. Because the second model comprises the additional detail of the object, the segmentation result using the second model is more complete than the segmentation result obtained using the first model. Moreover, the initialization of the second model based on the adapted first model and/or the detected features improves the accuracy of the second model adaptation.
摘要翻译：本发明涉及一种用于分割图像中的对象的系统（100），包括用于适配用于将对象分割成图像的第一模型的第一适配器（110），用于从图像中提取特征的分析器（115）在适配的第一模型上，基于从图像提取的特征，选择器（120），用于从多个模型中选择用于分割对象的第二模型，用于分割对象，其中第二模型包括对象的附加细节，用于基于所述适配的第一模型和/或从所述图像提取的特征来初始化所述第二模型的初始化器（125）和用于将所述初始化的第二模型适配到所述图像的第二适配器（130）。基于适配的第一模型从图像提取的特征帮助系统（100）选择用于从多个模型分割对象的第二模型以分割对象。适应的第一模型和/或提取的特征也用于初始化第二模型。因为第二模型包括对象的附加细节，所以使用第二模型的分割结果比使用第一模型获得的分割结果更完整。此外，基于适应的第一模型和/或检测到的特征的第二模型的初始化提高了第二模型适应的准确性。

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