公开(公告)号：WO2010003044A2

公开(公告)日：2010-01-07

申请号：PCT/US2009/049487

申请日：2009-07-02

Applicant: NEC LABORATORIES AMERICA, INC.

Inventor： MALON, Christopher ,  MILLER, Matthew, L.

IPC: C12Q1/04 ,  G01N33/52

CPC classification number: G06K9/4628 ,  G06K9/0014 ,  G06K9/00147 ,  G06K9/2018

Abstract: An epithelial detector and method for automatically identifying epithelial portions of a tissue sample, includes: staining the tissue sample with at least two dyes; applying a color transformation to a color image of the tissue sample to obtain one or more color channels; and applying a trained convolutional neural network to the color channels to obtain a decision for position in the tissue as to whether it is inside or outside an epithelial layer. Also, a method for training the convolutional neural network.

Abstract translation: 用于自动识别组织样品的上皮部分的上皮检测器和方法包括：用至少两种染料染色组织样品; 对组织样本的彩色图像应用颜色变换以获得一个或多个颜色通道; 以及将经过训练的卷积神经网络应用于所述颜色通道以获得关于所述组织中位于所述组织内是否在上皮层内部或外部的位置的决定。 另外，一种训练卷积神经网络的方法。

公开(公告)号：WO2010003041A2

公开(公告)日：2010-01-07

申请号：PCT/US2009/049484

申请日：2009-07-02

Applicant: NEC LABORATORIES AMERICA, INC.

Inventor： COSATTO, Eric ,  BURGER, Harold, Christopher ,  MILLER, Matthew, L.

IPC: G06T7/00 ,  G06K9/00 ,  G06F15/00

CPC classification number: G06K9/00147

Abstract: A method and system for detecting and counting mitotic figures in an image of a biopsy sample stained with at least one dye, includes color filtering the image in a computer process to identify pixels in the image that have a color which is indicative a mitotic figure; extracting the mitotic pixels in the image that are connected to one another in a computer process, thereby producing blobs of mitotic pixels; shape-filtering and clustering the blobs of mitotic pixels in a computer process to produce mitotic figure candidates; extracting sub-images of mitotic figures by cropping the biopsy sample image at the location of the blobs; extracting two sets of features from the mitotic figure candidates in two separate computer processes; determining which of the mitotic figure candidates are mitotic figures in a computer classification process based on the extracted sets of features; and counting the number of mitotic figures per square unit of biopsy sample tissue.

Abstract translation: 一种用于检测和计数用至少一种染料染色的活组织检查样品的图像中的有丝分裂象的方法和系统，包括在计算机过程中对图像进行颜色过滤以识别图像中具有指示有丝分裂图的颜色的像素; 提取在计算机过程中彼此连接的图像中的有丝分裂像素，从而产生有丝分裂像素的斑点; 在计算机过程中形状过滤和聚集有丝分裂像素的斑点以产生有丝分裂的人物候选者; 通过在斑点的位置裁剪活检样本图像来提取有丝分裂图像的子图像; 在两个独立的计算机进程中从有丝分裂的人物中提取两组特征; 基于提取的特征集合确定计算机分类过程中的有丝分裂象候选者中的哪一个是有丝分裂图; 并计算每平方单位活检样本组织的有丝分裂数目。

公开(公告)号：EP2257636A2

公开(公告)日：2010-12-08

申请号：EP09774493.2

申请日：2009-07-02

Applicant: NEC Laboratories America, Inc.

Inventor： MALON, Christopher ,  MILLER, Matthew, L.

IPC: C12Q1/04 ,  G01N33/52

CPC classification number: G06K9/4628 ,  G06K9/0014 ,  G06K9/00147 ,  G06K9/2018

Abstract: An epithelial detector and method for automatically identifying epithelial portions of a tissue sample, includes: staining the tissue sample with at least two dyes; applying a color transformation to a color image of the tissue sample to obtain one or more color channels; and applying a trained convolutional neural network to the color channels to obtain a decision for position in the tissue as to whether it is inside or outside an epithelial layer. Also, a method for training the convolutional neural network.

Abstract translation: 用于自动识别组织样本的上皮部分的上皮检测器和方法包括：用至少两种染料对组织样本进行染色; 对组织样本的彩色图像应用颜色变换以获得一个或多个颜色通道; 以及将训练的卷积神经网络应用于颜色通道以获得组织中位置的决定，以确定其位于上皮层内部还是外部。 此外，还提供了一种训练卷积神经网络的方法。