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AUTOMATIC NUCLEI SEGMENTATION IN HISTOPATHOLOGY IMAGES

机译:组织病理学图像中的自动核分割

摘要

Provided herein are systems and computer-implemented methods for quantitative analyses of tissue sections (including, histopathology samples, such as immunohistochemically labeled or H&E stained tissue sections), involving automatic unsupervised segmentation of image(s) of the tissue section(s), measurement of multiple features for individual nuclei within the image(s), clustering of nuclei based on extracted features, and/or analysis of the spatial arrangement and organization of features in the image based on spatial statistics. Also provided are computer-readable media containing instructions to perform operations to carry out such methods. A quantitative image analysis pipeline for tumor purity estimation is also described
机译:本文提供了用于组织切片(包括组织病理学样品,例如免疫组织化学标记的或H&E染色的组织切片)的定量分析的系统和计算机实现的方法,涉及组织切片图像的自动无监督分割,测量图像中单个原子核的多个特征的确定,基于提取特征的核聚类和/或基于空间统计的图像中特征的空间排列和组织分析。还提供了计算机可读介质,该计算机可读介质包含执行用于执行这种方法的操作的指令。还描述了用于肿瘤纯度估计的定量图像分析管线

著录项

  • 公开/公告号US2019042826A1

    专利类型

  • 公开/公告日2019-02-07

    原文格式PDF

  • 申请/专利权人 OREGON HEALTH & SCIENCE UNIVERSITY;

    申请/专利号US201816054833

  • 发明设计人 YOUNG HWAN CHANG;GUILLAUME THIBAULT;

    申请日2018-08-03

  • 分类号G06K9;G06T7;G06T7/11;G06K9/46;G06T7/44;

  • 国家 US

  • 入库时间 2022-08-21 12:04:11

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