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31. 发明授权

US07965869B2 System and method for detecting and matching anatomical structures using appearance and shape 有权
标题翻译：使用外观和形状检测和匹配解剖结构的系统和方法
公开(公告)号：US07965869B2
公开(公告)日：2011-06-21
申请号：US12401909
申请日：2009-03-11
申请人： Xiang Zhou , Bogdan Georgescu , Dorin Comaniciu , R. Bharat Rao , Alok Gupta
发明人： Xiang Zhou , Bogdan Georgescu , Dorin Comaniciu , R. Bharat Rao , Alok Gupta
IPC分类号： G06K9/00 , G06K9/46 , G06K9/36
CPC分类号： G06K9/6206 , G06K9/6256 , G06T7/12 , G06T7/149 , G06T7/251 , G06T2207/10132 , G06T2207/30048
摘要： A detection framework that matches anatomical structures using appearance and shape is disclosed. A training set of images are used in which object shapes or structures are annotated in the images. A second training set of images represents negative examples for such shapes and structures, i.e., images containing no such objects or structures. A classification algorithm trained on the training sets is used to detect a structure at its location. The structure is matched to a counterpart in the training set that can provide details about the structure's shape and appearance.
摘要翻译：公开了一种使用外观和形状匹配解剖结构的检测框架。使用图像的训练集，其中在图像中注释对象形状或结构。图像的第二训练集表示这种形状和结构的负面例子，即不包含这样的对象或结构的图像。训练集训练的分类算法用于检测其位置的结构。该结构与训练集中的对应物匹配，可以提供关于结构形状和外观的细节。

32. 发明授权

US07650321B2 Two classifier based system for classifying anomalous medical patient records 有权
标题翻译：两种基于分类器的系统，用于对异常医疗病人记录进行分类
公开(公告)号：US07650321B2
公开(公告)日：2010-01-19
申请号：US11355299
申请日：2006-02-15
申请人： Sriram Krishnan , R. Bharat Rao
发明人： Sriram Krishnan , R. Bharat Rao
IPC分类号： G06N5/04 , G06E1/00
CPC分类号： G16H50/20 , G06F19/00 , G16H10/60
摘要： Missing data is addressed in a medical decision support system. The classifier applied to the patient record with missing data is obtained as a function of the available data. For example, one of a plurality of different classifiers is selected based on the features available in the patient record to be classified. The different classifiers are developed using different feature sets. The classifier developed using a feature set closest to or a sub-set of the features available in the patient record is selected for classifying the patient record. As another example, features in a training set corresponding to features available in the patient record are used to build a classifier. The classifier is applied to the patient record by inputting the available features of the patient record.
摘要翻译：缺失的数据在医疗决策支持系统中得到解决。作为可用数据的函数获得应用于具有缺失数据的病人记录的分类器。例如，基于要分类的患者记录中可用的特征来选择多个不同分类器之一。不同的分类器是使用不同的特征集开发的。选择使用最接近或者患者记录中可用特征的子集的特征集开发的分类器用于对患者记录进行分类。作为另一示例，使用对应于患者记录中可用特征的训练集中的特征来建立分类器。通过输入患者记录的可用特征将分类器应用于患者记录。

33. 发明授权

US07640051B2 Systems and methods for automated diagnosis and decision support for breast imaging 有权
标题翻译：用于乳腺成像自动诊断和决策支持的系统和方法
公开(公告)号：US07640051B2
公开(公告)日：2009-12-29
申请号：US10877129
申请日：2004-06-25
申请人： Sriram Krishnan , R. Bharat Rao , Murat Dundar , Glenn Fung
发明人： Sriram Krishnan , R. Bharat Rao , Murat Dundar , Glenn Fung
IPC分类号： A61B5/00
CPC分类号： G06T7/0012 , G06F19/00 , 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：提供了用于乳腺成像的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，以提供对医生工作流程的各个方面的决策支持，包括例如乳腺癌的自动诊断其他自动化决策支持功能，其能够为乳腺癌的筛选和分期提供决策支持。 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。

34. 发明申请

US20090234628A1 PREDICTION OF COMPLETE RESPONSE GIVEN TREATMENT DATA 审中-公开
标题翻译：预测完全响应治疗数据
公开(公告)号：US20090234628A1
公开(公告)日：2009-09-17
申请号：US12400868
申请日：2009-03-10
申请人： Shipeng Yu , Glenn Fung , Cary Dehing-Oberije , Lucas Carolus Gertrudis Gerardus Persoon , Sriram Krishnan , R. Bharat Rao , Philippe Lambin , Ruud G.P.M. Van Stiphout , Jeroen Buijsen , Guido Lammering , Marco Janssen , Eric Postma , Vincenzo Valentini
发明人： Shipeng Yu , Glenn Fung , Cary Dehing-Oberije , Lucas Carolus Gertrudis Gerardus Persoon , Sriram Krishnan , R. Bharat Rao , Philippe Lambin , Ruud G.P.M. Van Stiphout , Jeroen Buijsen , Guido Lammering , Marco Janssen , Eric Postma , Vincenzo Valentini
IPC分类号： G06G7/48 , G06F15/18
CPC分类号： A61N5/1031 , A61N2005/1041 , G06N20/00 , G16H50/50
摘要： A system for modeling complete response prediction is provided. The system includes an input that is operable to receive treatment information representing treatment data that may be used to predict a complete response of a tumor. The complete response may include a disappearance of all or substantially all of a disease. A processor may be operable to use a model to predict complete response of the tumor as a function of the treatment data. The model represents a probability of complete response to treatment given the treatment data. A display is operable to output an image as a function of the complete response prediction.
摘要翻译：提供了一种完整的响应预测建模系统。该系统包括可操作以接收表示可用于预测肿瘤的完整反应的治疗数据的治疗信息的输入。完整的反应可能包括所有或基本上所有疾病的消失。处理器可操作以使用模型来预测作为治疗数据的函数的肿瘤的完全反应。该模型表示给予治疗数据的治疗完全反应的概率。显示器可操作以输出作为完整响应预测的函数的图像。

35. 发明申请

US20090130096A1 Gene Signature of Early Hypoxia to Predict Patient Survival 有权
标题翻译：早期缺氧的基因特征预测患者生存
公开(公告)号：US20090130096A1
公开(公告)日：2009-05-21
申请号：US12113373
申请日：2008-05-01
申请人： Renaud G. Seigneuric , Maud H.W. Starmans , Glenn Fung , Balaji Krishnapuram , Dimitry S.A. Nuyten , Arie van Erk , Michael Gaston Magagnin , Kasper M. Rouschop , Sriram Krishnan , R. Bharat Rao , Christoffel Theodorus Anthonius Evelo , Adrian Campbell Begg , Bradly G. Wouters , Philippe Lambin
发明人： Renaud G. Seigneuric , Maud H.W. Starmans , Glenn Fung , Balaji Krishnapuram , Dimitry S.A. Nuyten , Arie van Erk , Michael Gaston Magagnin , Kasper M. Rouschop , Sriram Krishnan , R. Bharat Rao , Christoffel Theodorus Anthonius Evelo , Adrian Campbell Begg , Bradly G. Wouters , Philippe Lambin
IPC分类号： A61K39/395 , C12Q1/68 , A61N5/00 , C40B40/08
CPC分类号： C12Q1/6886 , C12Q2600/106 , C12Q2600/118
摘要： The present invention provides methods and compositions for predicting patient responses to cancer treatment using hypoxia gene signatures. These methods can comprise measuring in a biological sample from a patient the levels of gene expression of a group of the genes designated herein. The present invention also provides for microarrays that can detect expression from a group of genes.
摘要翻译：本发明提供了使用缺氧基因特征预测患者对癌症治疗的反应的方法和组合物。这些方法可以包括在来自患者的生物样品中测量本文指定的一组基因的基因表达水平。本发明还提供了可以检测一组基因的表达的微阵列。

36. 发明申请

US20090125334A1 Method and System for Radiation Oncology Automatic Decision Support 审中-公开
标题翻译：辐射肿瘤学自动决策支持方法与系统
公开(公告)号：US20090125334A1
公开(公告)日：2009-05-14
申请号：US12255100
申请日：2008-10-21
申请人： Sriram Krishnan , Debarshi Datta , R. Bharat Rao
发明人： Sriram Krishnan , Debarshi Datta , R. Bharat Rao
IPC分类号： G06Q50/00 , G06F17/00 , G06F17/30
CPC分类号： G06Q10/00 , G06F19/325 , G06F19/3481 , G06Q30/0201 , G06Q50/22 , G06Q50/24 , G16H50/20
摘要： A method for providing automatic decision support for the selection of a treatment protocol includes receiving information pertaining to the patient, the condition and the preferences partially or wholly by automatically parsing patient records. The information pertaining to the patient, the condition and the preferences may be partially or wholly ascertained by prompting a user for manual input of the desired data. The information is used to calculate one or more surrogate variables. A knowledge base including a plurality of treatment protocols is accessed and one or more of the plurality of treatment protocols are selected from the knowledge base based on the received information pertaining to the patient, the condition, and the preferences, the surrogate variables, and using a probabilistic framework. The selected treatment protocols are provided as treatment guidance.
摘要翻译：提供用于选择治疗方案的自动决定支持的方法包括通过自动解析患者记录来部分或全部地接收与患者有关的信息，条件和偏好。可以通过提示用户手动输入所需数据来部分或全部地确定与病人有关的信息，条件和偏好。该信息用于计算一个或多个替代变量。访问包括多个治疗协议的知识库，并且基于所接收的关于患者的信息，条件和偏好，代理变量以及使用的方式从知识库中选择多个治疗协议中的一个或多个一个概率框架。提供选定的治疗方案作为治疗指导。

37. 发明授权

US07519591B2 Systems and methods for encryption-based de-identification of protected health information 有权
标题翻译：用于基于加密的解除保护的健康信息的系统和方法
公开(公告)号：US07519591B2
公开(公告)日：2009-04-14
申请号：US10796255
申请日：2004-03-09
申请人： William A. Landi , R. Bharat Rao
发明人： William A. Landi , R. Bharat Rao
IPC分类号： G06F7/00 , G06F17/30 , G06F17/00
CPC分类号： G06Q50/22 , G06F19/00 , G06F21/6254 , G06F2221/2107 , G06F2221/2115 , H04L9/083 , H04L9/14 , H04L2209/88 , Y10S707/99936 , Y10S707/99939 , Y10S707/99945
摘要： Systems and methods are provided for protecting individual privacy (e.g., patient privacy) when individual data records (e.g., patient data records) are shared between various entities (e.g., healthcare entities). In one aspect, systems and methods are provided which implement secured key encryption for de-identifying patient data to ensure patient privacy, while allowing only the owners of the patient data and/or legally empowered entities to re-identify subject patients associated with de-identified patient data records, when needed.
摘要翻译：当个体数据记录（例如，患者数据记录）在不同实体（例如医疗保健实体）之间共享时，提供了用于保护个体隐私（例如，患者隐私）的系统和方法。在一个方面，提供了系统和方法，该系统和方法实现安全的密钥加密，用于去确定患者数据以确保患者的隐私，同时仅允许患者数据的所有者和/或法律授权的实体重新识别与解除关联的患者数据，在需要时确定患者数据记录。

38. 发明授权

US07386165B2 System and method for a sparse kernel expansion for a Bayes classifier 失效
标题翻译：用于Bayes分类器的稀疏内核扩展的系统和方法
公开(公告)号：US07386165B2
公开(公告)日：2008-06-10
申请号：US11049187
申请日：2005-02-02
申请人： Murat Dundar , Glenn Fung , Jinbo Bi , R. Bharat Rao
发明人： Murat Dundar , Glenn Fung , Jinbo Bi , R. Bharat Rao
IPC分类号： G06K9/62 , G06K9/00 , G06E1/00 , G06N3/02
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。

39. 发明申请

US20080044068A1 METHOD, APPARATUS AND COMPUTER PROGRAM FOR DISPLAYING MARKS IN AN IMAGE DATA SET 有权
标题翻译：用于在图像数据集中显示标记的方法，装置和计算机程序
公开(公告)号：US20080044068A1
公开(公告)日：2008-02-21
申请号：US11465386
申请日：2006-08-17
申请人： Carl J. G. Evertsz , Anke Bodicker , Sriram Krishnan , Balaji Krishnapuram , R. Bharat Rao , Dennis O'Dell , Alok Gupta
发明人： Carl J. G. Evertsz , Anke Bodicker , Sriram Krishnan , Balaji Krishnapuram , R. Bharat Rao , Dennis O'Dell , Alok Gupta
IPC分类号： G06K9/00 , G06F3/00
CPC分类号： G06T7/0012 , G06F19/00 , G06F19/321 , G06T2207/30068
摘要： A method and an apparatus display marks in an image data set, wherein an image data set comprising marks is provided and wherein during a review phase not all marks within the image data set are displayed at the same time. A list of the marks can be generated by sorting the marks depending on a predetermined sorting criterion and wherein the marks are displayed temporally one after another within the image data set in accordance with the generated list. The image data set is for example a medical image data set, wherein the marks are CAD marks and wherein the sorting criterion is the probability of marking illness, in particular the suspiciousness.
摘要翻译：方法和装置在图像数据组中显示标记，其中提供了包括标记的图像数据组，并且其中在检查阶段期间不是同时显示图像数据集内的所有标记。可以通过根据预定的分类标准对标记进行排序来生成标记的列表，并且其中根据所生成的列表，在图像数据集中，这些标记在时间上依次显示。图像数据集是例如医学图像数据集，其中标记是CAD标记，其中分类标准是标记疾病的概率，特别是可疑性。

40. 发明授权

US08626533B2 Patient data mining with population-based analysis 有权
标题翻译：患者数据挖掘与基于人群的分析
公开(公告)号：US08626533B2
公开(公告)日：2014-01-07
申请号：US10287329
申请日：2002-11-04
申请人： R. Bharat Rao , Sathyakama Sandilya
发明人： R. Bharat Rao , Sathyakama Sandilya
IPC分类号： G06Q10/00 , G06Q50/00 , A61B5/00 , G06F19/00
CPC分类号： G06F19/3443 , G06F17/3061 , G06F19/00 , G06F19/321 , G06F19/324 , G06F19/325 , G06F19/328 , G06F19/3418 , G06F19/3481 , G06Q10/10 , G06Q50/22 , G06Q50/24 , G16H10/20 , G16H10/60 , G16H15/00 , G16H40/20 , G16H40/63 , G16H50/20 , G16H50/30 , G16H50/50 , G16H50/70 , Y10S128/92
摘要： A system and method for analyzing population-based patient information is provided. The method includes the steps of data mining a plurality of patient records using a domain knowledge base relating to a disease of interest; compiling the mined data into a plurality of structured patient records; inputting at least one patient criteria relating to the disease of interest; and extracting at least one structured patient record matching the at least one patient criteria. The system includes a data miner for mining information from the plurality of patient records using a domain knowledge base relating to a disease of interest and for compiling the mined data into a plurality of structured patient records; an interface for inputting at least one patient criteria relating to the disease of interest; and a processor adapted for extracting at least one of the structured patient records matching the at least one patient criteria.
摘要翻译：提供了一种用于分析基于人群的患者信息的系统和方法。该方法包括使用与感兴趣的疾病有关的领域知识库数据挖掘多个患者记录的步骤; 将开采的数据编译成多个结构化的患者记录; 输入与感兴趣的疾病有关的至少一个患者标准; 以及提取与所述至少一个患者标准相匹配的至少一个结构化病人记录。该系统包括数据挖掘机，用于使用与感兴趣的疾病相关的领域知识库从多个患者记录中挖掘信息，并将开采的数据编译成多个结构化的患者记录; 用于输入关于感兴趣的疾病的至少一个患者标准的界面; 以及适于提取与所述至少一个患者标准匹配的所述结构化患者记录中的至少一个的处理器。

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