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    Method and system for automatically determining diagnostic saliency of digital images
    1.
    发明申请
    Method and system for automatically determining diagnostic saliency of digital images 审中-公开
    自动确定数字图像诊断显着性的方法和系统

    公开(公告)号：US20050136549A1

    公开(公告)日：2005-06-23

    申请号：US10966071

    申请日：2004-10-15

    申请人： Abhijeet Gholap ,  Gauri Gholap ,  C. Rao ,  Sanford Barsky ,  Prithviraj Jadhav ,  Jayant Abhyankar ,  Madhura Vipra

    发明人： Abhijeet Gholap ,  Gauri Gholap ,  C. Rao ,  Sanford Barsky ,  Prithviraj Jadhav ,  Jayant Abhyankar ,  Madhura Vipra

    IPC分类号： C12Q1/00 ,  G01N33/566 ,  G06T5/40

    CPC分类号： G06K9/0014 ,  G06T5/008 ,  G06T5/30 ,  G06T5/40 ,  G06T2207/30024

    摘要： A method and system for automatically determining diagnostic saliency of digital images for medical and/or pathological purposes. Luminance parameters (e.g. intensity, etc.) from a digital image of a biological sample (e.g., tissue cells) to which a chemical compound (e.g., a marker dye) has been applied are automatically analyzed and automatically corrected if necessary. Morphological parameters (e.g., cell membrane, cell nucleus, mitotic cells, etc.) from individual components within the biological sample are automatically analyzed on the digital image. A medical conclusion (e.g., a medical diagnosis or prognosis) is automatically determined from the analyzed luminance and morphological parameters.

    摘要翻译： 用于医疗和/或病理目的的用于自动确定数字图像的诊断显着性的方法和系统。 来自应用化学化合物（例如，标记染料）的生物样品（例如，组织细胞）的数字图像的亮度参数（例如强度等）被自动分析并且如果需要自动校正。 在数字图像上自动分析来自生物样品中各个组分的形态参数（例如，细胞膜，细胞核，有丝分裂细胞等）。 从分析的亮度和形态参数自动确定医学结论（例如，医学诊断或预后）。

    Method and system for digital image based flourescent in situ hybridization (FISH) analysis
    3.
    发明申请
    Method and system for digital image based flourescent in situ hybridization (FISH) analysis 审中-公开
    基于数字图像的荧光原位杂交（FISH）分析方法和系统

    公开(公告)号：US20050265588A1

    公开(公告)日：2005-12-01

    申请号：US11050035

    申请日：2005-02-03

    申请人： Abhijeet Gholap ,  Gauri Gholap ,  C. Rao ,  Madhura Vipra ,  Deepak Pardeshi ,  Prithviraj Jadhav ,  Jayant Abhyankar

    发明人： Abhijeet Gholap ,  Gauri Gholap ,  C. Rao ,  Madhura Vipra ,  Deepak Pardeshi ,  Prithviraj Jadhav ,  Jayant Abhyankar

    IPC分类号： G06K9/00 ,  G06K9/46

    CPC分类号： G06K9/00127

    摘要： A method and system for automated digital fluorescent in situ hybridization (FISH) image analysis. Luminance parameters from a digital image of a biological tissue sample to which a fluorescent compound (e.g., LSI-HER-2/neu and CEP-17 dyes) have been applied are analyzed to determine plural regions of interest. Fluorescent color signals in the plural regions of interest including plural cell nuclei are identified, classified and grouped into plural groups. Each of the plural groups is validated based on pre-defined conditions. A medical diagnosis or prognosis or medical, life science or biotechnology experiment conclusion determined using a count of plural ratios of validated fluorescent color signals within each of the cell nuclei within the plural groups.

    摘要翻译： 一种用于自动数字荧光原位杂交（FISH）图像分析的方法和系统。 分析来自应用荧光化合物（例如，LSI-HER-2 / neu和CEP-17染料）的生物组织样品的数字图像的亮度参数，以确定多个感兴趣的区域。 识别多个细胞核的多个感兴趣区域中的荧光色信号，分类并分组成多组。 基于预定义的条件来验证多个组中的每一个。 使用在多个组内的每个细胞核内的多个比例的验证荧光色信号的计数来确定医学诊断或预后或医学，生命科学或生物技术实验结论。

    Method and system for automated quantitation of tissue micro-array (TMA) digital image analysis
    4.
    发明申请
    Method and system for automated quantitation of tissue micro-array (TMA) digital image analysis 有权
    用于自动定量组织微阵列（TMA）数字图像分析的方法和系统

    公开(公告)号：US20060015262A1

    公开(公告)日：2006-01-19

    申请号：US11132931

    申请日：2005-05-19

    申请人： Abhijeet Gholap ,  Gauri Gholap ,  Prithviraj Jadhav ,  Sanford Barsky ,  C. Rao ,  Madhura Vipra

    发明人： Abhijeet Gholap ,  Gauri Gholap ,  Prithviraj Jadhav ,  Sanford Barsky ,  C. Rao ,  Madhura Vipra

    IPC分类号： G01N33/48 ,  G06K9/00 ,  G06F19/00

    CPC分类号： G06K9/00127

    摘要： A method and system for automated quantitation of tissue micro-array image (TMA) digital analysis. The method and system automatically analyze a digital image of a TMA with plural TMA cores created using a needle to biopsy or other techniques to create standard histologic sections and placing the resulting needle cores into TMA. The automated analysis allows a medical conclusion such as a medical diagnosis or medical prognosis (e.g., for a human cancer) to be automatically determined. The method and system provides reliable automatic TMA core gridding and automated TMA core boundary detection including detection of overlapping or touching TMA cores on a grid.

    摘要翻译： 一种用于自动定量组织微阵列图像（TMA）数字分析的方法和系统。 该方法和系统自动分析TMA的数字图像，其具有使用针进行活检或其他技术创建的多个TMA芯，以创建标准组织切片并将所得到的针芯置于TMA中。 自动分析允许自动确定例如医学诊断或医学预后（例如，对于人类癌症）的医学结论。 该方法和系统提供可靠的自动TMA核心网格化和自动TMA核心边界检测，包括检测网格上的重叠或触摸TMA核心。