专利快速检索-快速检索全球专利，免费商用专利数据库-IPRDB

1. 发明申请

WO2016001223A9 DETECTING EDGES OF A NUCLEUS USING IMAGE ANALYSIS 审中-公开
标题翻译：使用图像分析检测核子的边缘
公开(公告)号：WO2016001223A9
公开(公告)日：2016-02-25
申请号：PCT/EP2015064845
申请日：2015-06-30
申请人： VENTANA MED SYST INC , HOFFMANN LA ROCHE
发明人： CHUKKA SRINIVAS , CHEFD HOTEL CHRISTOPHE , WANG XIUZHONG
IPC分类号： G06T7/00
CPC分类号： G06T7/12 , G06T7/0012 , G06T7/13 , G06T7/136 , G06T7/194 , G06T2207/10024 , G06T2207/10056 , G06T2207/20021 , G06T2207/20036 , G06T2207/20076 , G06T2207/30024
摘要： Systems and methods for generating a locally adaptive threshold image for foreground detection performing operations including creating a saliency edge strength image or layer indicating edge or border pixels of the nuclei by performing tensor voting on pixels neighboring the initial edge pixels within an image region to refine true edges are featured. Further, for each of a plurality of regions or blocks of the image, an adaptive threshold image is determined by sampling a foreground pixel and a background pixel for each initial edge pixel or refined edge pixel, generating histograms for both background and foreground saliency (or gradient magnitude) modulated histograms, determining a threshold range for each block of the image, and interpolating the threshold at each pixel based on the threshold range at each block. Comparing the input image with the resulting locally adaptive threshold image enables extraction of significantly improved foreground.
摘要翻译：用于生成用于前景检测执行操作的局部自适应阈值图像的系统和方法，包括通过对与图像区域内的初始边缘像素相邻的像素执行张量投票来创建突出边缘强度图像或指示核的边缘或边界像素的层，以精炼真实边缘是特色。此外，对于图像的多个区域或块中的每一个，通过对每个初始边缘像素或精细边缘像素采样前景像素和背景像素来确定自适应阈值图像，生成背景和前景显着性的直方图（或梯度幅度）调制直方图，确定图像的每个块的阈值范围，以及基于每个块处的阈值范围内插每个像素处的阈值。将输入图像与生成的局部自适应阈值图像进行比较，可以显着改善前景。

2. 发明申请

WO2016020391A3 IMAGE ANALYSIS SYSTEM USING CONTEXT FEATURES 审中-公开
标题翻译：使用上下文特征的图像分析系统
公开(公告)号：WO2016020391A3
公开(公告)日：2016-03-31
申请号：PCT/EP2015067972
申请日：2015-08-04
申请人： VENTANA MED SYST INC , HOFFMANN LA ROCHE
发明人： CHUKKA SRINIVAS , NIE YAO
IPC分类号： G06K9/00 , G06K9/62
CPC分类号： G06K9/00147 , G06K9/6269 , G06K9/627 , G06K9/6277 , G06K9/6292 , G06K2209/05
摘要： The present disclosure relates to an image analysis system for identifying objects belonging to a particular objet class in a digital image (102-108) of a biological sample, the system comprising a processor and memory, the memory comprising interpretable instructions which, when executed by the processor, cause the processor to perform a method comprising: - analyzing (602) the digital image for automatically or semi-automatically identifying objects in the digital image; - analyzing (604) the digital image for identifying, for each object, a first object feature value (202, 702) of a first object feature of said object; - analyzing (606) the digital image for computing one or more first context feature values (204, 704), each first context feature value being a derivative of the first object feature values or of other object feature values of a plurality of the objects in the digital image or being a derivative of a plurality of pixels of the digital image; - inputting (608) both the first object feature value of each of the objects in the digital image and the first context feature value of said digital image into a first classifier (210, 710); and - executing (610) the first classifier, the first classifier thereby using the first object feature value of each object and the one or more first context feature values as input for automatically determining, for said object, a first likelihood (216, 714) of said object of being a member of the object class.
摘要翻译：本公开涉及一种用于识别属于生物样本的数字图像（102-108）中的特定对象类别的对象的图像分析系统，所述系统包括处理器和存储器，所述存储器包括可解释指令，当被所述处理器使所述处理器执行一种方法，包括： - 分析（602）所述数字图像以自动或半自动识别所述数字图像中的对象; - 分析（604）数字图像，用于为每个对象识别所述对象的第一对象特征的第一对象特征值（202,702）; - 分析（606）所述数字图像以计算一个或多个第一上下文特征值（204,704），每个第一上下文特征值是所述第一对象特征值或多个对象中的其他对象特征值的导数数字图像或数字图像的多个像素的导数; - 将数字图像中的每个对象的第一对象特征值和所述数字图像的第一上下文特征值两者都输入（608）到第一分类器（210,710）中; 以及 - 执行（610）所述第一分类器，所述第一分类器由此使用每个对象的第一对象特征值，并且所述一个或多个第一上下文特征值作为输入，用于为所述对象自动确定第一可能性（216,714）作为对象类的成员的所述对象。

3. 发明申请

WO2014140070A3 WHOLE SLIDE IMAGE REGISTRATION AND CROSS-IMAGE ANNOTATION DEVICES, SYSTEMS AND METHODS 审中-公开
标题翻译：整个幻灯片图像注册和交叉图像注释设备，系统和方法
公开(公告)号：WO2014140070A3
公开(公告)日：2014-11-27
申请号：PCT/EP2014054781
申请日：2014-03-12
申请人： VENTANA MED SYST INC , HOFFMANN LA ROCHE
发明人： CHUKKA SRINIVAS , SABATA BIKASH , SARKAR ANINDYA , YUAN QUAN
IPC分类号： G06T7/00
CPC分类号： G06T7/0014 , G06K9/00127 , G06K9/46 , G06K9/6201 , G06T7/33 , G06T7/38 , G06T11/60 , G06T2200/24 , G06T2207/30024
摘要： The disclosure relates to devices, systems and methods for image registration and annotation. The devices include computer software products for aligning whole slide digital images on a common grid and transferring annotations from one aligned image to another aligned image on the basis of matching tissue structure. The systems include computer-implemented systems such as work stations and networked computers for accomplishing the tissue-structure based image registration and cross-image annotation. The methods include processes for aligning digital images corresponding to adjacent tissue sections on a common grid based on tissue structure, and transferring annotations from one of the adjacent tissue images to another of the adjacent tissue images.
摘要翻译：本公开涉及用于图像配准和注释的设备，系统和方法。这些设备包括计算机软件产品，用于将整个幻灯片数字图像对齐到公共网格上，并根据匹配的组织结构将注释从一个对齐的图像转移到另一个对齐的图像。这些系统包括计算机实现的系统，例如工作站和联网计算机，用于完成基于组织结构的图像配准和交叉图像注释。所述方法包括用于基于组织结构将公共网格上的相邻组织部分对应的数字图像对齐以及将注释从相邻组织图像中的一个转移到另一个相邻组织图像的过程。

4. 发明专利

CA2921325C SYSTEMS AND METHODS FOR COMPREHENSIVE MULTI-ASSAY TISSUE ANALYSIS 未知
公开(公告)号：CA2921325C
公开(公告)日：2020-05-12
申请号：CA2921325
申请日：2014-10-06
申请人： VENTANA MED SYST INC
发明人： CHUKKA SRINIVAS , SARKAR ANINDYA , BREDNO JOERG
IPC分类号： G01N21/84 , G01N21/77 , G06F16/53 , G06T7/00 , G06T7/10
摘要： The subject disclosure presents systems and methods for receiving a plurality of assay information along with a query for one or more features of interest, and projecting anatomical information from an anatomical assay onto a staining assay, for example an immunohistochemical (IHC) assay that is commonly registered with the anatomical assay, to locate or determine features appropriate for analysis. The anatomical information may be used to generate a mask that is projected on one or more commonly registered staining assays. A location of the feature of interest in the staining assay may be correlated with the anatomical context provided by the mask, with any features of interest that match the anatomical mask being selected or indicated as appropriate for analysis.

5. 发明专利

ES2701092T3 Procedimientos, kits y sistemas para puntuar la respuesta inmunitaria al cáncer por detección simultánea de CD3, CD8, CD20 y FOXP3 未知
公开(公告)号：ES2701092T3
公开(公告)日：2019-02-20
申请号：ES15706450
申请日：2015-02-20
申请人： VENTANA MED SYST INC
发明人： SEBASTIAO NOEMI , DAY WILLIAM , OCHS ROBERT , CHUKKA SRINIVAS , MARTIN JIM , BARNES MICHAEL , BREDNO JOERG , CHEN TING , TUBBS ALISA , NIE YAO
IPC分类号： G01N33/574
摘要： Un procedimiento de puntuación de la respuesta inmunitaria en cáncer usando linfocitos infiltrantes de tejido, que comprende: poner en contacto una muestra con todos los restos de unión específica de CD3, CD8, CD20 y FoxP3, retirar los restos de unión específica en exceso de la muestra, detectar todos los restos de unión específica, evaluar una presencia y una distribución para todos los restos de unión específica dentro de la muestra, puntuar el cáncer usando linfocitos infiltrantes de tejido analizando la presencia y la distribución de los restos de unión específica.

6. 发明专利

ES2639559T3 Análisis de imágenes para el pronóstico de cáncer de mama 未知
公开(公告)号：ES2639559T3
公开(公告)日：2017-10-27
申请号：ES13815724
申请日：2013-12-19
申请人： VENTANA MED SYST INC , CLEVELAND CLINIC FOUND , UNIV MELBOURNE
发明人： CHUKKA SRINIVAS , SARKAR ANINDYA , SCHEMP CRYSTAL , SERTEL OLCAY , SINGH SHALINI , TUBBS RAYMOND , WARING PAUL MICHAEL , WICK NIKOLAUS
IPC分类号： G01N33/574 , G06F19/00
摘要： Un procedimiento para determinar el pronóstico de cáncer de mama en un sujeto, que comprende: seleccionar en una muestra de cáncer de mama obtenida del sujeto al menos dos campos de visión (FOV) diferentes para cada uno de receptor de estrógenos (ER), receptor del factor de crecimiento epidérmico humano 2 (HER2), Ki-67 y receptor de progesterona (PR), en el que la muestra se marca de manera detectable con anticuerpos para cada uno de ER, HER2, Ki-67 y PR; medir la expresión de las proteínas ER, HER2, Ki-67 y PR en cada uno de los FOV seleccionados; determinar una puntuación inmunohistoquímica (IHC) combinada IHC4, siendo la puntuación inmunohistoquímica combinada una puntuación pronóstica basada en dichos cuatro marcadores medidos; medir la heterogeneidad de proteínas para ER y PR en cada uno de los FOV seleccionados; determinar una puntuación de heterogeneidad de proteínas para cada uno de ER y PR, siendo la puntuación de heterogeneidad de proteínas una indicación de la cantidad de heterogeneidad de la expresión de proteínas de un biomarcador particular en FOV diferentes; combinar las puntuaciones de heterogeneidad de proteínas y la puntuación IHC combinada, generando así una puntuación de pronóstico de salida; y determinar que el cáncer de mama en el sujeto es probable que sea agresivo si la puntuación de pronóstico de salida alcanza un valor umbral o determinar que el cáncer de mama en el sujeto es improbable que sea agresivo si la puntuación de pronóstico de salida no alcanza el valor umbral.

7. 发明专利

DK2939026T3 BILLEDANALYSE TIL BRYSTCANCERPROGNOSE 未知
公开(公告)号：DK2939026T3
公开(公告)日：2017-09-11
申请号：DK13815724
申请日：2013-12-19
申请人： VENTANA MED SYST INC , CLEVELAND CLINIC FOUND , UNIV MELBOURNE
发明人： CHUKKA SRINIVAS , SCHEMP CRYSTAL , SERTEL OLCAY , SINGH SHALINI , TUBBS RAYMOND , WARING PAUL MICHAEL , WICK NIKOLAUS , SARKAR ANINDYA
IPC分类号： G01N33/574 , G06F19/00

8. 发明专利

AU2015372563A1 Vessel analysis in multiplexed images 未知
公开(公告)号：AU2015372563A1
公开(公告)日：2017-06-22
申请号：AU2015372563
申请日：2015-12-24
申请人： HOFFMANN LA ROCHE , VENTANA MED SYST INC
发明人： YUAN QUAN , FUCHS ANGELIKA , CHUKKA SRINIVAS , FERNANDEZ GERARDO , LITTLE ELIZABETH
IPC分类号： G06T7/00
摘要： Systems (100) and methods for analyzing vessels in multiplexed images (101) include detecting large vessels using a spoke feature detection method (113), detecting long and narrow vessels using a line feature detection method (114), detecting smaller vessels using rolling-ball filtering and binary image operations to generate a mask (115), and evaluating any contour polygons resulting from these operations using quality measurements and other thresholds. Maturity determination (117) and nuclei detection (118) are also performed, resulting in an output of vessel characteristics and co-locations enabling enhanced analysis of multispectral images.

9. 发明专利

CA2948226A1 DETECTING EDGES OF A NUCLEUS USING IMAGE ANALYSIS 未知
公开(公告)号：CA2948226A1
公开(公告)日：2016-01-07
申请号：CA2948226
申请日：2015-06-30
申请人： VENTANA MED SYST INC
发明人： CHUKKA SRINIVAS , CHEFD´HOTEL CHRISTOPHE , WANG XIUZHONG
摘要： Systems and methods for generating a locally adaptive threshold image for foreground detection performing operations including creating a saliency edge strength image or layer indicating edge or border pixels of the nuclei by performing tensor voting on pixels neighboring the initial edge pixels within an image region to refine true edges are featured. Further, for each of a plurality of regions or blocks of the image, an adaptive threshold image is determined by sampling a foreground pixel and a background pixel for each initial edge pixel or refined edge pixel, generating histograms for both background and foreground saliency (or gradient magnitude) modulated histograms, determining a threshold range for each block of the image, and interpolating the threshold at each pixel based on the threshold range at each block. Comparing the input image with the resulting locally adaptive threshold image enables extraction of significantly improved foreground.

10. 发明专利

CA2932892A1 ADAPTIVE CLASSIFICATION FOR WHOLE SLIDE TISSUE SEGMENTATION 未知
公开(公告)号：CA2932892A1
公开(公告)日：2015-08-06
申请号：CA2932892
申请日：2015-01-23
申请人： VENTANA MED SYST INC
发明人： BREDNO JOERG , CHUKKA SRINIVAS , CHEN TING , CHEFD'HOTEL CHRISTOPHE , NGUYEN KIEN
IPC分类号： G06K9/00 , G06K9/46 , G06K9/62 , G06K9/66
摘要： A method of segmenting images of biological specimens using adaptive classification to segment a biological specimen into different types of tissue regions. The segmentation is performed by, first, extracting features from the neighborhood of a grid of points (GPs) sampled on the WS image and classifying them into different tissue types. Secondly, an adaptive classification procedure is performed where some or all of the GPs in a WS image are classified using a pre-built training database, and classification confidence scores for the GPs are generated. The classified GPs with high confidence scores are utilized to generate an adaptive training database, which is then used to re-classify the low confidence GPs. The motivation of the method is that the strong variation of tissue appearance makes the classification problem more challenging, while good classification results are obtained when the training and test data origin from the same slide.

你已经成功收藏专利！

检索式保存成功!

IPRDB

热门服务

关于我们

友情链接

联系方式