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    System and method for performing probabilistic classification and decision support using multidimensional medical image databases
    1.
    发明授权
    System and method for performing probabilistic classification and decision support using multidimensional medical image databases 有权
    使用多维医学图像数据库执行概率分类和决策支持的系统和方法

    公开(公告)号：US07458936B2

    公开(公告)日：2008-12-02

    申请号：US10703024

    申请日：2003-11-06

    申请人： Xiang Sean Zhou ,  Dorin Comaniciu ,  Alok Gupta ,  Visvanathan Ramesh ,  Bhavani Duggirala ,  Diane Paine

    发明人： Xiang Sean Zhou ,  Dorin Comaniciu ,  Alok Gupta ,  Visvanathan Ramesh ,  Bhavani Duggirala ,  Diane Paine

    IPC分类号： A61B8/00

    CPC分类号： G06K9/6276 ,  A61B8/0883 ,  G06F19/00 ,  G06K9/6256 ,  G06K2209/05 ,  G06Q50/22 ,  G16H50/20 ,  Y10S128/92 ,  Y10S128/924

    摘要： A system and method for providing decision support to a physician during a medical examination is disclosed. Data is received from a sensor representing a particular medical measurement. The received data includes image data. The received data and context data is analyzed with respect to one or more sets of training models. Probability values for the particular medical measurement and other measurements to be taken are derived based on the analysis and based on identified classes. The received image data is compared with training images. Distance values are determined between the received image data and the training images, and the training images are associated with the identified classes. Absolute value feature sensitivity scores are derived for the particular medical measurement and other measurements to be taken based on the analysis. The probability values, distance values and absolute value feature sensitivity scores are outputted to the user.

    摘要翻译： 公开了一种用于在医学检查期间向医师提供决策支持的系统和方法。 从代表特定医疗测量的传感器接收数据。 所接收的数据包括图像数据。 相对于一组或多组训练模型分析接收到的数据和上下文数据。 特定医疗测量和其他测量的概率值基于分析并基于识别的类别导出。 将接收到的图像数据与训练图像进行比较。 在接收的图像数据和训练图像之间确定距离值，并且训练图像与所识别的类别相关联。 基于分析，针对特定医疗测量和其他测量得出绝对值特征灵敏度得分。 将概率值，距离值和绝对值特征灵敏度得分输出给用户。

    System and Method for Performing Probabilistic Classification and Decision Support Using Multidimensional Medical Image Databases
    2.
    发明申请
    System and Method for Performing Probabilistic Classification and Decision Support Using Multidimensional Medical Image Databases 有权
    使用多维医学图像数据库执行概率分类和决策支持的系统和方法

    公开(公告)号：US20090080732A1

    公开(公告)日：2009-03-26

    申请号：US12243199

    申请日：2008-10-01

    申请人： Xiang Sean Zhou ,  Dorin Comaniciu ,  Alok Gupta ,  Visvanathan Ramesh ,  Bhavani Duggirala ,  Diane Paine

    发明人： Xiang Sean Zhou ,  Dorin Comaniciu ,  Alok Gupta ,  Visvanathan Ramesh ,  Bhavani Duggirala ,  Diane Paine

    IPC分类号： G06K9/00 ,  G06Q50/00

    CPC分类号： G06K9/6276 ,  A61B8/0883 ,  G06F19/00 ,  G06K9/6256 ,  G06K2209/05 ,  G06Q50/22 ,  G16H50/20 ,  Y10S128/92 ,  Y10S128/924

    摘要： A system and method for providing decision support to a physician during a medical examination is disclosed. Data is received from a sensor representing a particular medical measurement. The received data includes image data. The received data and context data is analyzed with respect to one or more sets of training models. Probability values for the particular medical measurement and other measurements to be taken are derived based on the analysis and based on identified classes. The received image data is compared with training images. Distance values are determined between the received image data and the training images, and the training images are associated with the identified classes. Absolute value feature sensitivity scores are derived for the particular medical measurement and other measurements to be taken based on the analysis. The probability values, distance values and absolute value feature sensitivity scores are outputted to the user.

    摘要翻译： 公开了一种用于在医学检查期间向医师提供决策支持的系统和方法。 从代表特定医疗测量的传感器接收数据。 所接收的数据包括图像数据。 相对于一组或多组训练模型分析接收到的数据和上下文数据。 特定医疗测量和其他测量的概率值基于分析并基于识别的类别导出。 将接收到的图像数据与训练图像进行比较。 在接收的图像数据和训练图像之间确定距离值，并且训练图像与所识别的类别相关联。 基于分析，针对特定医疗测量和其他测量得出绝对值特征灵敏度得分。 将概率值，距离值和绝对值特征灵敏度得分输出给用户。

    System and method for performing probabilistic classification and decision support using multidimensional medical image databases
    3.
    发明授权
    System and method for performing probabilistic classification and decision support using multidimensional medical image databases 有权
    使用多维医学图像数据库执行概率分类和决策支持的系统和方法

    公开(公告)号：US08060178B2

    公开(公告)日：2011-11-15

    申请号：US12243199

    申请日：2008-10-01

    申请人： Xiang Zhou ,  Dorin Comaniciu ,  Alok Gupta ,  Visvanathan Ramesh ,  Bhavani Duggirala ,  Diane Paine

    发明人： Xiang Zhou ,  Dorin Comaniciu ,  Alok Gupta ,  Visvanathan Ramesh ,  Bhavani Duggirala ,  Diane Paine

    IPC分类号： A61B5/00

    CPC分类号： G06K9/6276 ,  A61B8/0883 ,  G06F19/00 ,  G06K9/6256 ,  G06K2209/05 ,  G06Q50/22 ,  G16H50/20 ,  Y10S128/92 ,  Y10S128/924

    摘要： A system and method for providing decision support to a physician during a medical examination is disclosed. Data is received from a sensor representing a particular medical measurement. The received data includes image data. The received data and context data is analyzed with respect to one or more sets of training models. Probability values for the particular medical measurement and other measurements to be taken are derived based on the analysis and based on identified classes. The received image data is compared with training images. Distance values are determined between the received image data and the training images, and the training images are associated with the identified classes. Absolute value feature sensitivity scores are derived for the particular medical measurement and other measurements to be taken based on the analysis. The probability values, distance values and absolute value feature sensitivity scores are outputted to the user.

    摘要翻译： 公开了一种用于在医学检查期间向医师提供决策支持的系统和方法。 从代表特定医疗测量的传感器接收数据。 所接收的数据包括图像数据。 相对于一组或多组训练模型分析接收到的数据和上下文数据。 特定医疗测量和其他测量的概率值基于分析并基于识别的类别导出。 将接收到的图像数据与训练图像进行比较。 在接收的图像数据和训练图像之间确定距离值，并且训练图像与所识别的类别相关联。 基于分析，针对特定医疗测量和其他测量得出绝对值特征灵敏度得分。 将概率值，距离值和绝对值特征灵敏度得分输出给用户。

    Systems and methods for automated diagnosis and decision support for heart related diseases and conditions
    8.
    发明授权
    Systems and methods for automated diagnosis and decision support for heart related diseases and conditions 有权
    用于心脏相关疾病和病症的自动诊断和决策支持的系统和方法

    公开(公告)号：US07912528B2

    公开(公告)日：2011-03-22

    申请号：US10876801

    申请日：2004-06-25

    申请人： Sriram Krishnan ,  Alok Gupta ,  R. Bharat Rao ,  Dorin Comaniciu ,  Xiang Sean Zhou

    发明人： Sriram Krishnan ,  Alok Gupta ,  R. Bharat Rao ,  Dorin Comaniciu ,  Xiang Sean Zhou

    IPC分类号： A61B5/05

    CPC分类号： G16H50/20 ,  G06F19/00

    摘要： CAD (computer-aided diagnosis) systems and applications for cardiac imaging are provided, which implement methods to automatically extract and analyze features from a collection of patient information (including image data and/or non-image data) of a subject patient, to provide decision support for various aspects of physician workflow including, for example, automated assessment of regional myocardial function through wall motion analysis, automated diagnosis of heart diseases and conditions such as cardiomyopathy, coronary artery disease and other heart-related medical conditions, and other automated decision support functions. The CAD systems implement machine-learning techniques that use a set of training data obtained (learned) from a database of labeled patient cases in one or more relevant clinical domains and/or expert interpretations of such data to enable the CAD systems to “learn” to analyze patient data and make proper diagnostic assessments and decisions for assisting physician workflow.

    摘要翻译： 提供了用于心脏成像的CAD（计算机辅助诊断）系统和应用，其实现了从受试患者的患者信息（包括图像数据和/或非图像数据）的集合中自动提取和分析特征的方法，以提供 对医师工作流程的各个方面的决策支持，包括例如通过壁运动分析自动评估区域性心肌功能，心脏病的自动诊断和诸如心肌病，冠状动脉疾病和其他与心脏相关的医疗状况等条件，以及其他自动化决策 支持功能。 CAD系统实施机器学习技术，其使用从一个或多个相关临床领域的标记的患者病例的数据库获得（学习）的一组训练数据和/或对这些数据的专家解释，使得CAD系统能够“学习” 分析患者数据，进行适当的诊断评估和决策，以协助医师的工作流程。

    Computer aided diagnostic assistance for medical imaging
    10.
    发明授权
    Computer aided diagnostic assistance for medical imaging 有权
    计算机辅助诊断辅助医学成像

    公开(公告)号：US07244230B2

    公开(公告)日：2007-07-17

    申请号：US10702721

    申请日：2003-11-06

    申请人： Bhavani Duggirala ,  Diane S. Paine ,  Dorin Comaniciu ,  Arun Krishnan ,  Xiang Zhou

    发明人： Bhavani Duggirala ,  Diane S. Paine ,  Dorin Comaniciu ,  Arun Krishnan ,  Xiang Zhou

    IPC分类号： A61B5/00 ,  A61B8/00

    CPC分类号： A61B8/56 ,  A61B8/00 ,  A61B8/4427 ,  A61B8/485 ,  A61B8/565 ,  G06F19/00 ,  G06T7/0012 ,  G06T2207/30004 ,  G16H50/20 ,  Y02A90/22 ,  Y02A90/26 ,  Y10S128/925

    摘要： Various attributes for medical CAD analysis used alone or in combination are disclosed, including: (1) using medical sensor data and context information associated with the configuration of the medical system to provide recommendations for further acts to be performed for more accurate or different diagnosis, (2) recommending further acts to be performed and providing an indication of the importance of the further act for further diagnosis, (3) distributing the computer-assisted diagnosis software and/or database over multiple systems, and (4) transmitting patient data to a remote system for CAD diagnosis and using the results of the CAD diagnosis at the remote facility.

    摘要翻译： 公开了用于单独或组合使用的医疗CAD分析的各种属性，包括：（1）使用与医疗系统的配置相关联的医疗传感器数据和上下文信息来提供用于执行更准确或不同诊断的进一步行为的建议， （2）推荐进一步的行为，并提供进一步诊断的进一步行动的重要性的指示，（3）通过多个系统分发计算机辅助诊断软件和/或数据库，以及（4）将患者数据发送到 用于CAD诊断的远程系统，并在远程设施中使用CAD诊断的结果。