会员体验
专利管家(专利管理)
工作空间(专利管理)
风险监控(情报监控)
数据分析(专利分析)
侵权分析(诉讼无效)
联系我们
交流群
官方交流:
QQ群: 891211   
微信请扫码    >>>
现在联系顾问~
热词
    • 1. 发明申请
    • ADAPTIVE HYBRID REASONING DECISION SUPPORT SYSTEM
    • 自适应混合决策支持系统
    • US20120310947A1
    • 2012-12-06
    • US13584380
    • 2012-08-13
    • Paul J. FortierTheophano MitsaNancy Dluhy
    • Paul J. FortierTheophano MitsaNancy Dluhy
    • G06F17/30
    • G06Q10/00G06F19/00G06Q50/24
    • A method for indexing a plurality of nodes using a computer system is provided. The computer system includes data storage and a processor coupled to the data storage. The method includes acts of storing the plurality of nodes in the data storage, each of the plurality of nodes having a hit count, a link count and an outcome, creating a qualitative index ordering a plurality of nodes according to the hit count, the link count and the outcome of each node and storing the qualitative index in the data storage. The hit count of each node indicates a number of times a case attribute associated with the node is presented to a user. The link count of each node indicates a number of times the case attribute associated with the node is affirmed as useful. The outcome of each node indicates a desirability of the outcome.
    • 提供了一种使用计算机系统索引多个节点的方法。 计算机系统包括数据存储器和耦合到数据存储器的处理器。 所述方法包括将所述多个节点存储在所述数据存储器中的动作,所述多个节点中的每一个具有命中计数,链接计数和结果,根据所述命中次数创建对多个节点排序的定性索引,所述链接 计数和每个节点的结果,并将定性索引存储在数据存储中。 每个节点的命中次数指示与节点相关联的病例属性被呈现给用户的次数。 每个节点的链路计数指示与节点相关联的病例属性被确认为有用的次数。 每个节点的结果表明结果的可取性。
    • 2. 发明授权
    • Methods and apparatuses for analyzing images
    • 用于分析图像的方法和装置
    • US07885438B2
    • 2011-02-08
    • US10251446
    • 2002-09-20
    • Renuka UppaluriTheophano MitsaEric A. HoffmanGeoffrey McLennanMilan Sonka
    • Renuka UppaluriTheophano MitsaEric A. HoffmanGeoffrey McLennanMilan Sonka
    • G06K9/00
    • G06T7/0012
    • A method for automated analysis of textural differences present on an image volume. The image volume includes a plurality of volume elements, and each volume element has a gray level. The method includes defining a volume of interest (VOI); performing texture measures within the VOI; and classifying the VOI as belonging to a tissue pathology class based upon the texture measures. Computer readable media encoded with computer readable instructions for carrying out these functions. An apparatus that includes an image input adapted to receive a diagnostic medical image. The image includes a plurality of pixels, and each pixel has a particular gray level. The apparatus also includes a display for displaying a graphical user interface and the received image; and a processor adapted to perform texture measures on one or more groups of pixels within the image and classify each group of pixels to a tissue pathology class based upon the textures measures. The processor is further adapted to (1) associate a color to each group of pixels indicative of the group's tissue pathology class, (2) cause the display to display one or more of the colors on the image at the location of the associated group or groups of pixels, (3) permit a user to manually associate a tissue pathology class to a group of pixels, and (4) cause the display to display the manually-associated tissue pathology class.
    • 用于自动分析图像体积上存在的纹理差异的方法。 图像体积包括多个体积元素,并且每个体积元素具有灰度级。 该方法包括定义感兴趣体积(VOI); 在VOI内执行纹理测量; 并且基于纹理测量将VOI分类为属于组织病理学类别。 用计算机可读指令编码的用于执行这些功能的计算机可读介质。 一种包括适于接收诊断医学图像的图像输入的装置。 图像包括多个像素,并且每个像素具有特定的灰度级。 该装置还包括用于显示图形用户界面和接收到的图像的显示器; 以及处理器,其适于在所述图像内的一个或多个像素组上执行纹理测量,并且基于所述纹理测量将每组像素分类到组织病理类别。 处理器还适于(1)将颜色与指示组的组织病理类别的每组像素相关联,(2)使得显示器在相关联的组的位置处的图像上显示一种或多种颜色,或 (3)允许用户将组织病理学类别手动地关联到一组像素,以及(4)使显示器显示手动相关的组织病理学类。
    • 4. 发明授权
    • Adaptive hybrid reasoning decision support system
    • 自适应混合推理决策支持系统
    • US08504514B2
    • 2013-08-06
    • US13584380
    • 2012-08-13
    • Paul J. FortierTheophano MitsaNancy Dluhy
    • Paul J. FortierTheophano MitsaNancy Dluhy
    • G06F7/00G06F17/00
    • G06Q10/00G06F19/00G06Q50/24
    • A method for indexing a plurality of nodes using a computer system is provided. The computer system includes data storage and a processor coupled to the data storage. The method includes acts of storing the plurality of nodes in the data storage, each of the plurality of nodes having a hit count, a link count and an outcome, creating a qualitative index ordering a plurality of nodes according to the hit count, the link count and the outcome of each node and storing the qualitative index in the data storage. The hit count of each node indicates a number of times a case attribute associated with the node is presented to a user. The link count of each node indicates a number of times the case attribute associated with the node is affirmed as useful. The outcome of each node indicates a desirability of the outcome.
    • 提供了一种使用计算机系统索引多个节点的方法。 计算机系统包括数据存储器和耦合到数据存储器的处理器。 所述方法包括将所述多个节点存储在所述数据存储器中的动作,所述多个节点中的每一个具有命中计数,链接计数和结果,根据所述命中次数创建对多个节点排序的定性索引,所述链接 计数和每个节点的结果,并将定性索引存储在数据存储中。 每个节点的命中次数指示与节点相关联的病例属性被呈现给用户的次数。 每个节点的链路计数指示与节点相关联的病例属性被确认为有用的次数。 每个节点的结果表明结果的可取性。
    • 5. 发明授权
    • Adaptive hybrid reasoning decision support system
    • 自适应混合推理决策支持系统
    • US08244733B2
    • 2012-08-14
    • US12435944
    • 2009-05-05
    • Paul J. FortierTheophano MitsaNancy Dluhy
    • Paul J. FortierTheophano MitsaNancy Dluhy
    • G06F7/00G06F17/30
    • G06Q10/00G06F19/00G06Q50/24
    • A method for indexing a plurality of nodes using a computer system is provided. The computer system includes data storage and a processor coupled to the data storage. The method includes acts of storing the plurality of nodes in the data storage, each of the plurality of nodes having a hit count, a link count and an outcome, creating a qualitative index ordering a plurality of nodes according to the hit count, the link count and the outcome of each node and storing the qualitative index in the data storage. The hit count of each node indicates a number of times a case attribute associated with the node is presented to a user. The link count of each node indicates a number of times the case attribute associated with the node is affirmed as useful. The outcome of each node indicates a desirability of the outcome.
    • 提供了一种使用计算机系统索引多个节点的方法。 计算机系统包括数据存储器和耦合到数据存储器的处理器。 所述方法包括将所述多个节点存储在所述数据存储器中的动作,所述多个节点中的每一个具有命中计数,链接计数和结果,根据所述命中次数创建对多个节点排序的定性索引,所述链接 计数和每个节点的结果,并将定性索引存储在数据存储中。 每个节点的命中次数指示与节点相关联的病例属性被呈现给用户的次数。 每个节点的链路计数指示与节点相关联的病例属性被确认为有用的次数。 每个节点的结果表明结果的可取性。
    • 6. 发明授权
    • Method and apparatus for analyzing CT images to determine the presence of pulmonary tissue pathology
    • 用于分析CT图像以确定肺组织病理学存在的方法和装置
    • US06466687B1
    • 2002-10-15
    • US09022093
    • 1998-02-11
    • Renuka UppaluriTheophano MitsaEric A. HoffmanGeoffrey McLennanMilan Sonka
    • Renuka UppaluriTheophano MitsaEric A. HoffmanGeoffrey McLennanMilan Sonka
    • G06K900
    • G06T7/0012
    • A method and apparatus for analyzing CT images to determine the presence of pulmonary tissue pathology, such as in emphysema, IPF, sarcoid, etc. In accordance with one embodiment, a CT slice is selected to perform an automated, objective, and quantitative analysis of the slice. Initially, an image processing stage is performed, which includes segmentation and edgementation of the selected CT slice for preparation of a series of objective, quantitative measures to be performed on the slice. A region of interest (ROI) is selected on the CT slice in which these objective, quatitative measures are to be taken. The first set of objective, quantitative measures are first order texture measures that describe a frequency of occurrence of all gray levels assigned to pixels within the ROI of the image slice. The second set of objective, quantitative measures are second order texture measures that characterize the spatial interdependencies between particular pixels of the ROI. Fractal analysis could also be performed to provide additional objective, quantitative measures of the ROI. The ROI is classified to a particular tissue pathology class based upon an optimal subset of first or second order texture measures and fractal measures obtained. A color-coded output is displayed for visual presentation to a user indicating the different tissue pathology classes assigned to different regions of the CT slice.
    • 用于分析CT图像以确定肺组织病理学的存在的方法和装置,例如在肺气肿,IPF,结节样等中。根据一个实施例,选择CT切片以执行自动化,客观和定量分析 切片。 最初,执行图像处理阶段,其包括所选择的CT切片的分割和分割,以准备在切片上执行的一系列客观的定量测量。 在CT切片上选择感兴趣区域(ROI),在这些切片中将采用这些客观的定量测量方法。 第一组客观量化措施是描述分配给图像切片ROI内的像素的所有灰度级发生频率的一阶纹理度量。 第二组客观的量化措施是表征ROI的特定像素之间的空间相互依赖性的二阶纹理度量。 还可以进行分形分析,以提供投资回报率的额外目标,定量测量。 基于获得的一阶或二阶纹理测量和分形测量的最佳子集,将ROI归类为特定的组织病理学类别。 显示颜色编码的输出,用于向用户呈现指示分配给CT切片的不同区域的不同组织病理学类别的用户。