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    PERFORMING SEGMENTATION OF CELLS AND NUCLEI IN MULTICHANNEL IMAGES
    5.
    发明公开
    PERFORMING SEGMENTATION OF CELLS AND NUCLEI IN MULTICHANNEL IMAGES 有权

    公开(公告)号：EP3365867A1

    公开(公告)日：2018-08-29

    申请号：EP16784837.3

    申请日：2016-10-17

    申请人： Ventana Medical Systems, Inc.

    发明人： WANG, Xiuzhong

    IPC分类号： G06T7/00

    CPC分类号： G06T7/11 ,  G06T7/10 ,  G06T7/194 ,  G06T2207/10016 ,  G06T2207/10024 ,  G06T2207/10152 ,  G06T2207/20041 ,  G06T2207/30024

    摘要： Systems and methods of improving segmentation and classification in multi-channel images of biological specimens are described herein. Image channels may be arranged and processed sequentially, with the first image channel being processed from an unmodified image, and subsequent images processed from attenuated images that remove features of previous segmentations. For each segmented image channel in sequence, a binary image mask of the image channel may be created. A distance transform image may be computed from the binary mask. Attenuation images computed for all previous channels may be combined with a current attenuation image to create a combined attenuation image. The next image channel in the sequence may then be attenuated to produce an attenuated next image channel, which may then be segmented. The steps can be repeated until all image channels have been segmented.

    DETECTING EDGES OF A NUCLEUS USING IMAGE ANALYSIS
    6.
    发明公开
    DETECTING EDGES OF A NUCLEUS USING IMAGE ANALYSIS 有权
    用图像分析检测核的边界

    公开(公告)号：EP3161787A1

    公开(公告)日：2017-05-03

    申请号：EP15732707.3

    申请日：2015-06-30

    申请人： Ventana Medical Systems, Inc.

    发明人： CHUKKA, Srinivas ,  CHEFD´HOTEL, Christophe ,  WANG, Xiuzhong

    IPC分类号： G06T7/00

    CPC分类号： G06T7/12 ,  G06K9/4604 ,  G06T7/0012 ,  G06T7/13 ,  G06T7/136 ,  G06T7/194 ,  G06T2207/10024 ,  G06T2207/10056 ,  G06T2207/20021 ,  G06T2207/20036 ,  G06T2207/20076 ,  G06T2207/20164 ,  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的局部自适应阈值图像的系统和方法执行操作，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显着边缘强度图像或指示核的边缘或边界像素的层以提炼真实 边缘特色。 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改进的边缘像素对前景像素和背景像素进行采样来确定自适应阈值图像，从而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，并基于每个块的阈值范围在每个像素处内插阈值。 比较输入图像和所得到的局部自适应阈值图像使得能够提取显着改善的前景。