中科微点-全球专利检索

  1. Login
  2. Sign Up

Search Results

7 records (took 0.023 seconds)

    RETRIEVING RADIOLOGICAL STUDIES USING AN IMAGE-BASED QUERY
    5.
    发明申请
    RETRIEVING RADIOLOGICAL STUDIES USING AN IMAGE-BASED QUERY 审中-公开
    使用基于图像的查询检索放射学研究

    公开(公告)号：WO2011039671A3

    公开(公告)日：2011-07-14

    申请号：PCT/IB2010054202

    申请日：2010-09-17

    Applicant: KONINKL PHILIPS ELECTRONICS NV ,  PHILIPS INTELLECTUAL PROPERTY ,  SEVENSTER MERLIJN ,  QIAN YUECHEN ,  VAN OMMERING ROBBERT CHRISTIAAN ,  KNESER REINHARD ,  GELLER DIETER

    Inventor： SEVENSTER MERLIJN ,  QIAN YUECHEN ,  VAN OMMERING ROBBERT CHRISTIAAN ,  KNESER REINHARD ,  GELLER DIETER

    IPC: G06F19/00

    CPC classification number: G06F19/321

    Abstract: The invention relates to a system (100) for identifying a document of a plurality of documents, based on a multidimensional image, the system (100) comprising an object unit (110) for identifying an object represented in the multidimensional image, based on a user input indicating a region of the multidimensional image, and further based on a model for modeling the object, determined by segmentation of the indicated region of the multidimensional image; a keyword unit (120) for identifying a keyword of a plurality of keywords, related to the identified object, based on an annotation of the model for modeling the object; and a document unit (130) for identifying the document of the plurality of documents, based on the identified keyword. Thus, the system advantageously facilitates a user's access to documents comprising information of interest based on a viewed multidimensional image. The document may be identified by its name or, preferably, by a link to the document. By following the link, the system may be further adapted to allow the user to retrieve the document stored in a storage comprising the plurality of documents, e.g. download a file comprising the document, and view the document on a display.

    Abstract translation: 本发明涉及一种用于基于多维图像来识别多个文档的文档的系统（100），所述系统（100）包括用于基于多维图像识别所述多​​维图像中表示的对象的对象单元（110） 用户输入指示多维图像的区域，并且还基于通过多维图像的指示区域的分割确定的用于建模对象的模型; 用于基于用于建模对象的模型的注释来识别与所识别的对象相关的多个关键字的关键字的关键字单元（120）; 以及用于基于所识别的关键字来识别所述多​​个文档的文档的文档单元（130）。 因此，该系统有利地促进用户基于所观看的多维图像来访问包括感兴趣的信息的文档。 该文件可以由其名称或优选地通过文档的链接来标识。 通过跟随链接，系统可以进一步适于允许用户检索存储在包括多个文档的存储器中的文档，例如， 下载包含文档的文件，并在显示器上查看文档。

    ANATOMY-RELATED IMAGE-CONTEXT-DEPENDENT APPLICATIONS FOR EFFICIENT DIAGNOSIS
    6.
    发明申请
    ANATOMY-RELATED IMAGE-CONTEXT-DEPENDENT APPLICATIONS FOR EFFICIENT DIAGNOSIS 审中-公开
    与解剖学相关的图像依赖性应用程序进行有效的诊断

    公开(公告)号：WO2008018014A3

    公开(公告)日：2008-04-10

    申请号：PCT/IB2007053101

    申请日：2007-08-07

    Applicant: KONINKL PHILIPS ELECTRONICS NV ,  PHILIPS INTELLECTUAL PROPERTY ,  KIEFER GUNDOLF ,  LEHMANN HELKO ,  GELLER DIETER ,  SCHRAMM HAUKE ,  PETERS JOCHEN ,  ECABERT OLIVIER ,  WEESE JUERGEN

    Inventor： KIEFER GUNDOLF ,  LEHMANN HELKO ,  GELLER DIETER ,  SCHRAMM HAUKE ,  PETERS JOCHEN ,  ECABERT OLIVIER ,  WEESE JUERGEN

    IPC: G06F19/00

    CPC classification number: G16H40/63

    Abstract: The invention relates to a system (100) for obtaining information relating to segmented volumetric medical image data, the system comprising: a display unit (110) for displaying a view of the segmented volumetric medical image data on a display; an indication unit (115) for indicating a location on the displayed view; a trigger unit (120) for triggering an event; an identification unit (125) for identifying a segmented anatomical structure comprised in the segmented volumetric medical image data based on the indicated location on the displayed view in response to the triggered event; and an execution unit (130) for executing an action associated with the identified segmented anatomical structure, thereby obtaining information relating to the segmented volumetric medical image data. The action executed by the execution unit (130) may be displaying a name of the segmented anatomical structure, a short description of the segmented anatomical structure, or a hint on a potential malformation or malfunction of the segmented anatomical structure. Thus, the system (100) allows obtaining valuable information relating to the volumetric medical image data viewed by a physician on the display, thereby assisting the physician in medical diagnosing.

    Abstract translation: 本发明涉及一种用于获取与分段体积医学图像数据相关的信息的系统（100），该系统包括：显示单元（110），用于在显示器上显示分割的体积医学图像数据的视图; 指示单元（115），用于指示所显示的视图上的位置; 触发单元（120），用于触发事件; 识别单元（125），用于响应于触发的事件，基于所显示的视图上的指示位置来识别包含在所述分段体积医学图像数据中的分段解剖结构; 以及执行单元（130），用于执行与所识别的分段解剖结构相关联的动作，从而获得与分割的体积医学图像数据相关的信息。 由执行单元（130）执行的动作可以显示分割的解剖结构的名称，分割的解剖结构的简短描述，或对分割的解剖结构的潜在畸形或故障的提示。 因此，系统（100）允许获得与医生在显示器上观看的体积医学图像数据相关的有价值的信息，从而辅助医师进行医学诊断。

    ROBUST SPEAKER-DEPENDENT SPEECH RECOGNITION SYSTEM
    7.
    发明申请
    ROBUST SPEAKER-DEPENDENT SPEECH RECOGNITION SYSTEM 审中-公开
    强大的扬声器相关语音识别系统

    公开(公告)号：WO2006033044A2

    公开(公告)日：2006-03-30

    申请号：PCT/IB2005052986

    申请日：2005-09-13

    Applicant: KONINKL PHILIPS ELECTRONICS NV ,  PHILIPS INTELLECTUAL PROPERTY ,  GELLER DIETER

    Inventor： GELLER DIETER

    IPC: G10L15/06 ,  G10L15/07

    CPC classification number: G10L15/07 ,  G10L15/063 ,  G10L15/144 ,  G10L15/20

    Abstract: The present invention provides a method of incorporating speaker-dependent expressions into a speaker-independent speech recognition system providing training data for a plurality of environmental conditions and for a plurality of speakers. The speaker­dependent expression is transformed in a sequence of feature vectors and a mixture density of the set of speaker-independent training data is determined that has a minimum distance to the generated sequence of feature vectors. The determined mixture density is then assigned to a Hidden-Markov-Model (HMM) state of the speaker-dependent expression. Therefore, speaker-dependent training data and references no longer have to be explicitly stored in the speech recognition system. Moreover, by representing a speaker-dependent expression by speaker-independent training data, an environmental adaptation is inherently provided. Additionally, the invention provides generation of artificial feature vectors on the basis of the speaker-dependent expression providing a substantial improvement for the robustness of the speech recognition system with respect to varying environmental conditions.

    Abstract translation: 本发明提供了一种将说话者依赖表达结合到与多个环境条件和多个扬声器提供训练数据的与说话者无关的语音识别系统中。 说话者依赖的表达式被转换成特征向量序列，并且确定与所生成的特征向量序列具有最小距离的与说话者无关的训练数据集合的混合密度。 然后将确定的混合密度分配给说话者依赖表达的隐马尔可夫模型（HMM）状态。 因此，说话者相关的训练数据和参考文献不再必须明确地存储在语音识别系统中。 此外，通过用与说话者无关的训练数据表示说话者依赖表达，固有地提供了环境适应。 此外，本发明提供了基于说话者依赖表达的人造特征向量的生成，为语音识别系统相对于变化的环境条件的鲁棒性提供了显着的改进。

Patent Agency Ranking