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公开(公告)号：US20120041779A1
公开(公告)日：2012-02-16
申请号：US13264657
申请日：2010-03-09
申请人： Lilla Boroczky , Ye Xu , Jeremy Drysdale , Michael Chun-chieh Lee , Lina Arbash Meinel , Thomas Buelow
发明人： Lilla Boroczky , Ye Xu , Jeremy Drysdale , Michael Chun-chieh Lee , Lina Arbash Meinel , Thomas Buelow
IPC分类号： G06Q50/22
CPC分类号： G06Q50/22 , G06F19/321 , G16H40/63 , G16H50/20
摘要： A clinical decision support (CDS) system comprises: a case grouping sub-system (10) including a graphical user interface (30) that is operative to simultaneously display data representing a plurality of patient cases and further configured to enable a user to group selected patient cases represented by the simultaneously displayed data into clinically related groups (32) as selected by the user; a probative features determination sub-system (12) that is operative to determine probative features (44) that correlate with the clinically related groups; and a CDS user interface (16) that is operative to receive current patient data relating to a current patient case and to output clinical decision support information based on values of the probative features determined from the received current patient data.
摘要翻译： 临床决策支持（CDS）系统包括：病例分组子系统（10），包括图形用户界面（30），其可操作以同时显示表示多个患者病例的数据，并且还被配置为使得用户能够对所选择的组进行分组 患者病例由同时显示的数据表示为临床相关组（32），由用户选择; 证明特征确定子系统（12），其用于确定与临床相关组相关联的证明特征（44）; 以及CDS用户界面（16），其可操作以接收与当前患者情况相关的当前患者数据，并且基于从所接收的当前患者数据确定的证明特征的值输出临床决策支持信息。
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2.发明申请SYSTEM AND METHOD FOR CLINICAL DECISION SUPPORT FOR THERAPY PLANNING USING CASE-BASED REASONING 审中-公开使用基于案例的理由进行治疗规划的临床决策支持系统和方法公开(公告)号：US20130268547A1
公开(公告)日：2013-10-10
申请号：US13993419
申请日：2011-12-07
申请人： Lilla Boroczky , Mark R Simpson , Ye Xu , Michael Chun-chieh Lee
发明人： Lilla Boroczky , Mark R Simpson , Ye Xu , Michael Chun-chieh Lee
IPC分类号： G06F17/30
摘要： A non-transitory computer-readable storage medium storing a set of instructions executable by a processor. The set of instructions is operable to receive a current patient set of data relating to a current patient; compare the current patient set of data to a plurality of previous patient sets of data, each of the previous patient sets of data corresponding to a previous patient; select one of the previous patient sets of data based on a level of similarity between the selected previous patient set of data and the current patient set of data; and provide the selected previous patient set of data to a user.
摘要翻译： 一种非暂时的计算机可读存储介质，其存储可由处理器执行的一组指令。 所述指令集合可操作以接收与当前患者相关的当前患者数据集合; 将当前患者的数据集合与多个先前的患者数据集进行比较，每个先前的患者数据组对应于先前患者; 基于所选择的先前患者数据集与当前患者数据集合之间的相似程度，选择先前的患者数据集之一; 并向用户提供所选择的先前患者数据集。
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公开(公告)号：US09792414B2
公开(公告)日：2017-10-17
申请号：US12747535
申请日：2008-12-11
CPC分类号： G06F19/345 , G06F19/00 , G16H50/20
摘要： This invention relates to a method and device for case-based decision support. It proposes that a case-based decision support system is trained on inputs from several radiologists in order to have a “baseline” system, and then the system provides an option to a radiologist to refine the baseline system based on his/her inputs which either refine weights of features for similarity distance computation directly or provide new similarity ground truth clusters. By enabling modifying the similarity distance computation based on user inputs, this invention adapts similarity ground truth to different users with different experience and/or different opinions.
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4.发明授权System and method for automatic generation of initial radiation treatment plans 有权自动生成初始辐射治疗计划的系统和方法公开(公告)号：US09123097B2
公开(公告)日：2015-09-01
申请号：US13995630
申请日：2011-12-07
CPC分类号： G06T7/0012 , A61N5/103 , A61N2005/1041 , G06F19/00 , G06F19/34 , G06T2207/30016 , G16H50/70
摘要： A non-transitory computer-readable storage medium storing a set of instructions executable by a processor. The set of instructions is operable to receive a current patient medical image of a current patient, compare the current patient medical image to a plurality of previous patient medical images, each of the previous patient medical images corresponding to a previous patient, select one of the previous patients based on a geometric similarity between the previous patient medical image of the selected one of the previous patients and the current patient medical image, and determine an initial radiation treatment plan based on a radiation treatment plan of the selected one of the previous patients.
摘要翻译： 一种非暂时的计算机可读存储介质，其存储可由处理器执行的一组指令。 所述指令集合可操作以接收当前患者的当前患者医学图像，将当前患者医学图像与多个先前患者医学图像进行比较，每个先前患者医学图像对应于先前患者，选择 基于之前患者的先前患者医学图像与当前患者医学图像之间的几何相似度的先前患者，并且基于所选择的先前患者的放射治疗计划来确定初始辐射治疗计划。
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5.发明申请SYSTEM AND METHOD FOR FUSING CLINICAL AND IMAGE FEATURES FOR COMPUTER-AIDED DIAGNOSIS 审中-公开用于融合计算机辅助诊断的临床和图像特征的系统和方法公开(公告)号：US20110166879A1
公开(公告)日：2011-07-07
申请号：US13061959
申请日：2009-09-09
摘要： A system and method of providing computer-aided analysis of medical images uses an image processor (910) to process medical image data. A decision engine (920) generates a diagnosis based on the image data (940). The decision engine estimates the probability of an illness based on the image data and assesses the relevance of any unavailable data. The result is used to request this unavailable data from the user for computing a more complete diagnosis or otherwise displaying the results in incomplete form due to either the lack of additional data or the confidence in the incomplete diagnostic results. The diagnostic results may be displayed on an output terminal (970) and may be stored in the database (930).
摘要翻译： 提供医学图像的计算机辅助分析的系统和方法使用图像处理器（910）来处理医学图像数据。 决策引擎（920）基于图像数据生成诊断（940）。 决策引擎基于图像数据估计疾病的概率，并评估任何不可用数据的相关性。 由于缺乏额外的数据或对不完整的诊断结果的置信度，结果用于请求来自用户的不可用数据，用于计算更完整的诊断或以不完整的形式显示结果。 诊断结果可以显示在输出终端（970）上，并且可以存储在数据库（930）中。
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6.发明申请SYSTEM AND METHOD FOR AUTOMATIC GENERATION OF INITIAL RADIATION TREATMENT PLANS 有权用于自动生成初始辐射治疗计划的系统和方法公开(公告)号：US20130272593A1
公开(公告)日：2013-10-17
申请号：US13995630
申请日：2011-12-07
IPC分类号： G06T7/00
CPC分类号： G06T7/0012 , A61N5/103 , A61N2005/1041 , G06F19/00 , G06F19/34 , G06T2207/30016 , G16H50/70
摘要： A non-transitory computer-readable storage medium storing a set of instructions executable by a processor. The set of instructions is operable to receive a current patient medical image of a current patient, compare the current patient medical image to a plurality of previous patient medical images, each of the previous patient medical images corresponding to a previous patient, select one of the previous patients based on a geometric similarity between the previous patient medical image of the selected one of the previous patients and the current patient medical image, and determine an initial radiation treatment plan based on a radiation treatment plan of the selected one of the previous patients.
摘要翻译： 一种非暂时的计算机可读存储介质，其存储可由处理器执行的一组指令。 所述指令集合可操作以接收当前患者的当前患者医学图像，将当前患者医学图像与多个先前患者医学图像进行比较，每个先前患者医学图像对应于先前患者，选择 基于之前患者的先前患者医学图像与当前患者医学图像之间的几何相似度的先前患者，并且基于所选择的先前患者的放射治疗计划来确定初始辐射治疗计划。
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7.发明申请公开(公告)号：US20110172514A1
公开(公告)日：2011-07-14
申请号：US13061966
申请日：2009-09-09
CPC分类号： G06T7/0012 , G06F19/00 , G06K9/6228 , G06K9/6262 , G06K9/6292 , G06K2209/051 , G06T2207/10072 , G06T2207/20081 , G06T2207/20084 , G06T2207/30064 , G16H50/20
摘要： A classifier (20) is trained by a feature matrix (18, 18′) made up of feature vectors (F11, . . . , Fkm). The feature vectors are generated by operating on each of a plurality (k) of training image data sets with each of a plurality (m) of image processing algorithms (121, . . . , 12m) to generate processed and segmented images. Features of the segmented regions are extracted (14) to generate the feature vectors. In this manner, the classifier is trained with data generated with a variety of image processing algorithms.
摘要翻译： 分类器（20）由由特征向量（F11，...，Fkm）组成的特征矩阵（18,18'）训练。 通过使用多个（m）图像处理算法（121，...，12m）中的每一个对多个（k）个训练图像数据集中的每一个进行操作来生成特征向量，以生成经处理和分割的图像。 提取分段区域的特征（14）以生成特征向量。 以这种方式，通过用各种图像处理算法生成的数据对分类器进行训练。
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公开(公告)号：US20100281037A1
公开(公告)日：2010-11-04
申请号：US12747535
申请日：2008-12-11
IPC分类号： G06F17/30
CPC分类号： G06F19/345 , G06F19/00 , G16H50/20
摘要： This invention relates to a method and device for case-based decision support. It proposes that a case-based decision support system is trained on inputs from several radiologists in order to have a “baseline” system, and then the system provides an option to a radiologist to refine the baseline system based on his/her inputs which either refine weights of features for similarity distance computation directly or provide new similarity ground truth clusters. By enabling modifying the similarity distance computation based on user inputs, this invention adapts similarity ground truth to different users with different experience and/or different opinions.
摘要翻译： 本发明涉及用于基于病例的决策支持的方法和装置。 它建议对基于病例的决策支持系统进行培训，对来自多名放射科医师的投入进行培训，以便建立一个“基线”系统，然后该系统为放射科医师提供一个选择，以便根据他/她的输入来完善基线系统， 优化直接相似度距离计算的特征权重或提供新的相似性地面真值聚类。 通过使用基于用户输入的相似距离计算能够进行修改，本发明通过不同的经验和/或不同的观点，将不同用户的相似性原理进行了调整。
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公开(公告)号：US11170900B2
公开(公告)日：2021-11-09
申请号：US12747615
申请日：2008-12-10
IPC分类号： G16H50/70 , G06F16/532 , G06F16/535
摘要： The invention relates to search for cases in a database. According to the proposed method and apparatus, similarity matching is performed between an input case and a set of cases in an initial search to receive similar cases by using a given matching criterion. Then statistics on image and/or non-image-based features associated with the similar cases are calculated and presented to the user with the similar cases. In a search refinement the similar cases are refined by additional features that are determined by the user based on the statistics. The search refinement can be iterative depending on the user's need.
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公开(公告)号：US10121243B2
公开(公告)日：2018-11-06
申请号：US12441950
申请日：2007-09-18
申请人： Lilla Boroczky , Lalitha Agnihotri , Luyin Zhao , Michael Chun-Chieh Lee , Charles Andrew Powell , Alain C. Borczuk , Steven Kawut
发明人： Lilla Boroczky , Lalitha Agnihotri , Luyin Zhao , Michael Chun-Chieh Lee , Charles Andrew Powell , Alain C. Borczuk , Steven Kawut
摘要： Methods are herein provided for decision support in diagnosis of a disease in a subject, and for extracting features from a multi-slice data set. Systems for computer-aided diagnosis are provided. The systems take as input a plurality of medical data and produces as output a diagnosis based upon this data. The inputs may consist of a combination of image data and clinical data. Diagnosis is performed through feature selection and the use of one or more classifier algorithms.
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