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1. 发明申请

WO2006083569A9 CHARACTERIZATION OF CARDIAC MOTION WITH SPATIAL RELATIONSHIP 审中-公开
标题翻译：具有空间关系的心脏运动特征
公开(公告)号：WO2006083569A9
公开(公告)日：2006-10-19
申请号：PCT/US2006001931
申请日：2006-01-18
申请人： SIEMENS MEDICAL SOLUTIONS , QAZI MALEEHA , KAMASAK MUSTAFA , DUNDAR MURAT , FUNG GLENN , KRISHNAN SRIRAM , RAO R BHARAT
发明人： QAZI MALEEHA , KAMASAK MUSTAFA , DUNDAR MURAT , FUNG GLENN , KRISHNAN SRIRAM , RAO R BHARAT
IPC分类号： A61B5/00
CPC分类号： G06T7/0012 , A61B5/00 , A61B5/055 , A61B5/7267 , A61B6/03 , A61B6/5217 , A61B8/08 , G06F19/321 , G06K9/00335 , G06K2209/051 , G06T7/20 , G06T2207/30048 , G16H50/20 , G16H50/50
摘要： Cardiac motion is automatically characterized (28) based on spatial relationship to health. A classifier is trained for the characterization of cardiac motion. Regional wall motion abnormality assessment (28) may be improved by combining information from neighboring segments (S). The structure or relationship between different segments (S) and associated probabilities of different spatial locations being abnormal given another segment (S) being abnormal are used for classification.
摘要翻译：心脏运动根据与健康的空间关系自动表征（28）。训练分类器以表征心脏运动。区域性室壁运动异常评估（28）可通过结合来自邻近区段（S）的信息来改善。使用另一个片段（S）异常的不同片段（S）之间的结构或关系以及不同空间位置的相关概率被异常用于分类。

2. 发明申请

WO2006096364A3 PERFORMANCE ADJUSTMENTS IN MEDICAL DECISION SUPPORT SYSTEMS 审中-公开
标题翻译：医疗决策支持系统的绩效调整
公开(公告)号：WO2006096364A3
公开(公告)日：2006-10-19
申请号：PCT/US2006006842
申请日：2006-02-27
申请人： SIEMENS MEDICAL SOLUTIONS , KRISHNAN SRIRAM , DUNDAR MURAT , RAO R BHARAT
发明人： KRISHNAN SRIRAM , DUNDAR MURAT , RAO R BHARAT
IPC分类号： G06F19/00
CPC分类号： G16H40/63
摘要： A user adjusts the performance for assisted diagnosis. The sensitivity, specificity or both are adjusted as desired by the physician or end-user. By adjusting the trade-offs, a decision support system may be optimized by each user or for each case, possibly avoiding a one-fits-all approach or requiring purchase of different CAD products.
摘要翻译：用户调整辅助诊断的性能。敏感性，特异性或两者均由医师或终端用户根据需要进行调整。通过调整权衡，决策支持系统可以由每个用户或每种情况优化，可能避免一刀切的方法或要求购买不同的CAD产品。

3. 发明申请

WO2005078638A3 A SYSTEM AND METHOD FOR A SPARSE KERNEL EXPANSION FOR A BAYES CLASSIFIER 审中-公开
标题翻译：一种用于贝叶类分类器的小型扩展的系统和方法
公开(公告)号：WO2005078638A3
公开(公告)日：2005-10-06
申请号：PCT/US2005003806
申请日：2005-02-04
申请人： SIEMENS MEDICAL SOLUTIONS , DUNDAR MURAT , FUNG GLENN , BI JINBO , RAO R BHARAT
发明人： DUNDAR MURAT , FUNG GLENN , BI JINBO , RAO R BHARAT
IPC分类号： G06K9/62
CPC分类号： G06K9/6256
摘要： A method and device having instructions for analyzing input data-space by learning classifiers include choosing a candidate subset from a predetermined training data-set that is used to analyze the input data-space. Candidates are temporarily added from the candidate subset to an expansion set to generate a new kernel space for the input data-space by predetermined repeated evaluations of leave-one-out errors for the candidates added to the expansion set. This is followed by removing the candidates temporarily added to the expansion set after the leave-one-out error evaluations are performed, and selecting the candidates to be permanently added to the expansion set based on the leave-one-out errors of the candidates temporarily added to the expansion set to determine the one or more classifiers
摘要翻译：具有用于通过学习分类器分析输入数据空间的指令的方法和设备包括从用于分析输入数据空间的预定训练数据集中选择候选子集。将候选者从候选子集临时添加到扩展集合，以通过对添加到扩展集合的候选者的一对一错误进行预先重复的评估来为输入数据空间生成新的内核空间。之后，在执行一次性错误评估之后，删除临时添加到扩展集的候选者，并且基于临时的候选者的一次性错误选择要永久添加到扩展集的候选项添加到扩展集以确定一个或多个分类器

4. 发明申请

WO2007092518A3 SYSTEM AND METHOD FOR MULTIPLE INSTANCE LEARNING FOR COMPUTER AIDED DETECTION 审中-公开
标题翻译：用于计算机辅助检测的多个实例学习的系统和方法
公开(公告)号：WO2007092518A3
公开(公告)日：2008-06-05
申请号：PCT/US2007003296
申请日：2007-02-07
申请人： SIEMENS MEDICAL SOLUTIONS , RAO BHARAT R , DUNDAR MURAT , KRISHNAPURAM BALAJI , FUNG GLENN
发明人： RAO BHARAT R , DUNDAR MURAT , KRISHNAPURAM BALAJI , FUNG GLENN
IPC分类号： G06K9/62
CPC分类号： G06K9/6277 , G06T7/0012 , G06T2207/30004
摘要： A method of training a classifier for computer aided detection of digitized medical images, includes providing a plurality of bags, each bag containinga plurality of feature samples of a single region-of-interest in a medical image, wherein said features include texture, shape, intensity, and contrast of said region-of-interest, wherein each region-of-interest has been labeled as either malignant (11) or healthy (13), and training a classifier on said plurality of bags of feature samples, subject to the constraint that at least one point (12) in a convex hull (14) of each bag, corresponding to a feature sample, is correctly classified according to the labeled of the associated region-of-interest.
摘要翻译：一种对数字化医学图像进行计算机辅助检测的分类器进行训练的方法，包括：提供多个袋，每个袋在医学图像中包含单个感兴趣区域的多个特征样本，其中所述特征包括纹理，形状，所述感兴趣区域的强度和对比度，其中每个兴趣区域已被标记为恶性（11）或健康（13），并且在所述多个特征样本袋上训练分类器，约束，每个袋的凸包（14）中的对应于特征样本的至少一个点（12）根据相关联的感兴趣区域的标记被正确地分类。

5. 发明申请

WO2005001740A3 SYSTEMS AND METHODS FOR AUTOMATED DIAGNOSIS AND DECISION SUPPORT FOR BREAST IMAGING 审中-公开
标题翻译：用于乳腺成像的自动诊断和决策支持的系统和方法
公开(公告)号：WO2005001740A3
公开(公告)日：2005-06-09
申请号：PCT/US2004020228
申请日：2004-06-25
申请人： SIEMENS MEDICAL SOLUTIONS
发明人： KRISHNAN SRIRAM , RAO R BHARAT , DUNDAR MURAT , FUNG GLENN
IPC分类号： A61B8/00 , G06F19/00 , G06T7/00
CPC分类号： G06T7/0012 , G06F19/321 , G06T2207/10088 , G06T2207/10116 , G06T2207/20084 , G06T2207/30068 , G16H40/63 , G16H50/20 , Y10S128/92 , Y10S128/922 , Y10S128/923 , Y10S128/924
摘要： CAD (computer-aided diagnosis) systems and applications for breast 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 diagnosis of breast cancer other automated decision support functions that enable decision support for, e.g., screening and staging for breast cancer. 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：提供了用于乳房成像的CAD（计算机辅助诊断）系统和应用，其实现了从主体患者的患者信息（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，包括例如对乳腺癌的自动诊断，其他自动化决策支持功能，其支持例如乳腺癌筛查和分期的决策支持。 CAD系统实现机器学习技术，该技术使用从一个或多个相关临床领域中标记的病例数据库获得（学习）的一组训练数据和/或对这些数据的专家解释，以使得CAD系统能够“学习” 分析患者数据并做出适当的诊断评估和辅助医生工作流程的决定。

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