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1.发明申请SYSTEMS AND METHODS FOR SELECTING AND ANALYZING PARTICLES IN A BIOLOGICAL TISSUE 审中-公开在生物组织中选择和分析颗粒的系统和方法公开(公告)号：US20150032671A9
公开(公告)日：2015-01-29
申请号：US13460100
申请日：2012-04-30
CPC分类号： G06K9/00127 , G06F19/26
摘要： Systems and methods are disclosed for jointly presenting and analyzing morphological characteristics and biomarker expression levels of a biological sample. The systems and methods may utilize a morphological selection component to isolate a population of biological particles in a biological sample for exclusion from further processing. In addition, the systems and methods may simultaneously render morphological and statistical representations of the biological sample on a user interface.
摘要翻译： 公开了用于共同呈现和分析生物样品的形态特征和生物标志物表达水平的系统和方法。 系统和方法可以利用形态学选择组分来分离生物样品中的生物颗粒群，以免进一步处理。 此外，系统和方法可以同时在用户界面上呈现生物样品的形态和统计学表示。
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2.发明授权Systems and methods for tissue classification using attributes of a biomarker enhanced tissue network (BETN) 有权使用生物标志物增强组织网络（BETN）的属性进行组织分类的系统和方法公开(公告)号：US08831327B2
公开(公告)日：2014-09-09
申请号：US13221091
申请日：2011-08-30
CPC分类号： G06F19/24
摘要： Methods and systems for tissue classification of a tissue sample are provided. The methods and systems transform the tissue image data to a biomarker enhanced tissue network (BETN) such that an individual cell or a sub-cellular structure in the tissue image data corresponds to a node in the BETN, define a feature vector based on a feature set representative of a tissue type of interest, cluster nodes of the BETN based on a similarity criterion of one or features of the feature vector, and classify the nodes in the tissue image data based on the grouping of the nodes of the BETN.
摘要翻译： 提供了组织样品组织分类的方法和系统。 所述方法和系统将组织图像数据转换为生物标记增强组织网络（BETN），使得组织图像数据中的单个细胞或亚细胞结构对应于BETN中的节点，基于特征定义特征向量 基于所述特征向量的一个或多个特征向量的相似性标准，将所述感兴趣的组织类型的聚类节点代表所述组织类型，并且基于所述BETN的节点的分组对所述组织图像数据中的节点进行分类。
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公开(公告)号：US20130290225A1
公开(公告)日：2013-10-31
申请号：US13460100
申请日：2012-04-30
CPC分类号： G06K9/00127 , G16B45/00
摘要： Systems and methods are disclosed for jointly presenting and analyzing morphological characteristics and biomarker expression levels of a biological sample. The systems and methods may utilize a morphological selection component to isolate a population of biological particles in a biological sample for exclusion from further processing. In addition, the systems and methods may simultaneously render morphological and statistical representations of the biological sample on a user interface.
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4.发明申请SYSTEMS AND METHODS FOR PERFORMING QUALITY REVIEW SCORING OF BIOMARKERS AND IMAGE ANALYSIS METHODS FOR BIOLOGICAL TISSUE 有权生物标志质量评估评估系统与方法及生物组织图像分析方法公开(公告)号：US20130287283A1
公开(公告)日：2013-10-31
申请号：US13460081
申请日：2012-04-30
CPC分类号： G09G5/026 , G01N15/1475 , G06K9/0014 , G06K9/6253 , G06K9/6263 , G09G2340/12 , G09G2370/022 , G09G2380/08
摘要： Exemplary embodiments include methods, systems, and devices for enabling users to provide quality scores for indicating the quality of image analysis methods performed on images of biological tissue. An exemplary user interface displays results of an image analysis method performed on an image of biological tissue in an overlaid manner on an image of biological tissue. The exemplary user interface enable a user to provide, directly on the user interface, one or more quality scores to indicate the user's assessment of the quality of the image analysis performed on the image. Exemplary embodiments store the quality scores provided by the user in association with the image analysis method and the image of biological tissue.
摘要翻译： 示例性实施例包括用于使用户能够提供用于指示对生物组织的图像执行的图像分析方法的质量的质量分数的方法，系统和装置。 示例性用户界面以生物组织的图像的重叠方式显示对生物组织的图像执行的图像分析方法的结果。 示例性用户界面使得用户能够直接在用户界面上提供一个或多个质量得分以指示用户对图像上执行的图像分析的质量的评估。 示例性实施例与图像分析方法和生物组织的图像相关联地存储由用户提供的质量得分。
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5.发明授权Systems and methods for performing correlation analysis on clinical outcome and characteristics of biological tissue 有权对生物组织的临床结局和特征进行相关分析的系统和方法公开(公告)号：US08737709B2
公开(公告)日：2014-05-27
申请号：US13459999
申请日：2012-04-30
申请人： Vidya Pundalik Kamath , Colin Craig Mcculloch , Megan Rothney , Alberto Santamaria-Pang , Brion Daryl Sarachan
发明人： Vidya Pundalik Kamath , Colin Craig Mcculloch , Megan Rothney , Alberto Santamaria-Pang , Brion Daryl Sarachan
CPC分类号： G06F19/345 , G06Q50/22 , G16H50/20
摘要： Embodiments disclosed herein include methods, systems, and devices for determining a positive or negative correlation between a clinical outcome and one or more features of biological tissue. An exemplary user interface enables a user to select a clinical outcome and one or more aspects of a displayed field-of-view of biological tissue. Exemplary embodiments may automatically perform correlation analysis between the selected clinical outcome and one or more features characteristic of the user-selected aspects of the field-of-view of biological tissue. For example, exemplary embodiments may automatically perform correlation analysis between the selected clinical outcome and one or more features characteristic of one or more biological units in the biological tissue.
摘要翻译： 本文公开的实施方案包括用于确定临床结果与生物组织的一个或多个特征之间的正相关或负相关的方法，系统和装置。 示例性用户界面使得用户能够选择生物组织的显示视野的临床结果和一个或多个方面。 示例性实施例可以自动执行所选择的临床结果与生物组织的视野的用户选定方面特征的一个或多个特征之间的相关性分析。 例如，示例性实施例可以自动执行所选临床结果与生物组织中一个或多个生物单元特征的一个或多个特征之间的相关性分析。
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公开(公告)号：US20110249883A1
公开(公告)日：2011-10-13
申请号：US12757668
申请日：2010-04-09
申请人： Ali Can , Alberto Santamaria-Pang
发明人： Ali Can , Alberto Santamaria-Pang
CPC分类号： G06K9/0014 , G06K9/342 , G06T7/11 , G06T7/143 , G06T7/155 , G06T2207/10056 , G06T2207/10064 , G06T2207/20036 , G06T2207/20076 , G06T2207/20152 , G06T2207/30024
摘要： A method for segmenting a digital image into a plurality of target objects, comprising, generating a plurality of probability maps of the image, wherein each probability map is derived from a different segmentation classifier; generating a combined probability map based on the plurality of probability maps; mapping a plurality of image points based on one or more local object maxima; applying one or more object constraints based at least in part on the mapped points to identify local object information; applying one or more regional thresholds to the combined probability map, given the local object information and a background mask, to segment the image into regions; creating a segmented image at least in part by merging the segmented regions with corresponding local object maxima; and at least temporarily storing or displaying the segmented image on a digital device.
摘要翻译： 一种用于将数字图像分割成多个目标对象的方法，包括：生成所述图像的多个概率图，其中每个概率图从不同的分割分类器导出; 基于所述多个概率图生成组合概率图; 基于一个或多个局部对象最大值映射多个图像点; 至少部分地基于所述映射点应用一个或多个对象约束以识别本地对象信息; 给定局部对象信息和背景掩模，将一个或多个区域阈值应用于组合概率图，将图像分割成区域; 至少部分地通过将分割区域与相应的局部对象最大值合并来创建分割图像; 并且至少在数字设备上临时存储或显示分割的图像。
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7.发明授权Systems and methods for performing quality review scoring of biomarkers and image analysis methods for biological tissue 有权用于生物标志物质量评估评分和生物组织图像分析方法的系统和方法公开(公告)号：US09036888B2
公开(公告)日：2015-05-19
申请号：US13460081
申请日：2012-04-30
CPC分类号： G09G5/026 , G01N15/1475 , G06K9/0014 , G06K9/6253 , G06K9/6263 , G09G2340/12 , G09G2370/022 , G09G2380/08
摘要： Exemplary embodiments include methods, systems, and devices for enabling users to provide quality scores for indicating the quality of image analysis methods performed on images of biological tissue. An exemplary user interface displays results of an image analysis method performed on an image of biological tissue in an overlaid manner on an image of biological tissue. The exemplary user interface enable a user to provide, directly on the user interface, one or more quality scores to indicate the user's assessment of the quality of the image analysis performed on the image. Exemplary embodiments store the quality scores provided by the user in association with the image analysis method and the image of biological tissue.
摘要翻译： 示例性实施例包括用于使用户能够提供用于指示对生物组织的图像执行的图像分析方法的质量的质量分数的方法，系统和装置。 示例性用户界面以生物组织的图像的重叠方式显示对生物组织的图像执行的图像分析方法的结果。 示例性用户界面使得用户能够直接在用户界面上提供一个或多个质量得分以指示用户对图像上执行的图像分析的质量的评估。 示例性实施例与图像分析方法和生物组织的图像相关联地存储由用户提供的质量得分。
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8.发明申请公开(公告)号：US20130290006A1
公开(公告)日：2013-10-31
申请号：US13459999
申请日：2012-04-30
申请人： Vidya Pundalik Kamath , Colin Craig McCulloch , Megan Rothney , Alberto Santamaria-Pang , Brion Daryl Sarachan
发明人： Vidya Pundalik Kamath , Colin Craig McCulloch , Megan Rothney , Alberto Santamaria-Pang , Brion Daryl Sarachan
IPC分类号： G06Q50/22
CPC分类号： G06F19/345 , G06Q50/22 , G16H50/20
摘要： Embodiments disclosed herein include methods, systems, and devices for determining a positive or negative correlation between a clinical outcome and one or more features of biological tissue. An exemplary user interface enables a user to select a clinical outcome and one or more aspects of a displayed field-of-view of biological tissue. Exemplary embodiments may automatically perform correlation analysis between the selected clinical outcome and one or more features characteristic of the user-selected aspects of the field-of-view of biological tissue. For example, exemplary embodiments may automatically perform correlation analysis between the selected clinical outcome and one or more features characteristic of one or more biological units in the biological tissue.
摘要翻译： 本文公开的实施方案包括用于确定临床结果与生物组织的一个或多个特征之间的正相关或负相关的方法，系统和装置。 示例性用户界面使得用户能够选择生物组织的显示视野的临床结果和一个或多个方面。 示例性实施例可以自动执行所选择的临床结果与生物组织的视野的用户选定方面特征的一个或多个特征之间的相关性分析。 例如，示例性实施例可以自动执行所选临床结果与生物组织中一个或多个生物单元特征的一个或多个特征之间的相关性分析。
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公开(公告)号：US20130051650A1
公开(公告)日：2013-02-28
申请号：US13221091
申请日：2011-08-30
IPC分类号： G06K9/00
CPC分类号： G06F19/24
摘要： Methods and systems for tissue classification of a tissue sample are provided. The methods and systems transform the tissue image data to a biomarker enhanced tissue network (BETN) such that an individual cell or a sub-cellular structure in the tissue image data corresponds to a node in the BETN, define a feature vector based on a feature set representative of a tissue type of interest, cluster nodes of the BETN based on a similarity criterion of one or features of the feature vector, and classify the nodes in the tissue image data based on the grouping of the nodes of the BETN.
摘要翻译： 提供了组织样品组织分类的方法和系统。 所述方法和系统将组织图像数据转换为生物标记增强组织网络（BETN），使得组织图像数据中的单个细胞或亚细胞结构对应于BETN中的节点，基于特征定义特征向量 基于所述特征向量的一个或多个特征向量的相似性标准，将所述感兴趣的组织类型的聚类节点代表所述组织类型，并且基于所述BETN的节点的分组对所述组织图像数据中的节点进行分类。
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公开(公告)号：US08300938B2
公开(公告)日：2012-10-30
申请号：US12757668
申请日：2010-04-09
申请人： Ali Can , Alberto Santamaria-Pang
发明人： Ali Can , Alberto Santamaria-Pang
IPC分类号： G06K9/34
CPC分类号： G06K9/0014 , G06K9/342 , G06T7/11 , G06T7/143 , G06T7/155 , G06T2207/10056 , G06T2207/10064 , G06T2207/20036 , G06T2207/20076 , G06T2207/20152 , G06T2207/30024
摘要： A method for segmenting a digital image into a plurality of target objects, comprising, generating a plurality of probability maps of the image, wherein each probability map is derived from a different segmentation classifier; generating a combined probability map based on the plurality of probability maps; mapping a plurality of image points based on one or more local object maxima; applying one or more object constraints based at least in part on the mapped points to identify local object information; applying one or more regional thresholds to the combined probability map, given the local object information and a background mask, to segment the image into regions; creating a segmented image at least in part by merging the segmented regions with corresponding local object maxima; and at least temporarily storing or displaying the segmented image on a digital device.
摘要翻译： 一种用于将数字图像分割成多个目标对象的方法，包括：生成所述图像的多个概率图，其中每个概率图从不同的分割分类器导出; 基于所述多个概率图生成组合概率图; 基于一个或多个局部对象最大值映射多个图像点; 至少部分地基于所述映射点应用一个或多个对象约束以识别本地对象信息; 给定局部对象信息和背景掩模，将一个或多个区域阈值应用于组合概率图，将图像分割成区域; 至少部分地通过将分割区域与相应的局部对象最大值合并来创建分割图像; 并且至少在数字设备上临时存储或显示分割的图像。
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