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1. 发明申请

US20100172568A1 Signet Ring Cell Detector and Related Methods 有权
标题翻译： Signet Ring Cell Detector及相关方法
公开(公告)号：US20100172568A1
公开(公告)日：2010-07-08
申请号：US12496795
申请日：2009-07-02
申请人： Christopher Malon , Matthew L. Miller , Eric Cosatto
发明人： Christopher Malon , Matthew L. Miller , Eric Cosatto
IPC分类号： G06K9/62 , G06F15/18
CPC分类号： G06K9/00147 , G01N1/312 , G06T7/0012 , G06T2207/20061 , G06T2207/20081 , G06T2207/20084 , G06T2207/30024
摘要： A detector and method for automatically detecting signet ring cells in an image of a biopsy tissue sample, includes finding in the image, points about which cell membranes appear in radial symmetry; selecting as candidate points, at least ones of the points that have an adjacent nuclei with a predetermined shape feature; and applying a convolutional neural network to the candidate points to determine which of the candidate points are signet ring cells.
摘要翻译：用于在活检组织样本的图像中自动检测印戒细胞的检测器和方法包括在图像中发现关于哪个细胞膜呈径向对称的点; 选择候选点，具有具有预定形状特征的相邻核的点中的至少一个; 以及向所述候选点应用卷积神经网络，以确定所述候选点中的哪一个是所述环形蜂窝小区。

2. 发明授权

US08582860B2 Signet ring cell detector and related methods 有权
标题翻译： Signet环电池检测器及相关方法
公开(公告)号：US08582860B2
公开(公告)日：2013-11-12
申请号：US12496795
申请日：2009-07-02
申请人： Christopher Malon , Matthew L. Miller , Eric Cosatto
发明人： Christopher Malon , Matthew L. Miller , Eric Cosatto
IPC分类号： G06K9/62
CPC分类号： G06K9/00147 , G01N1/312 , G06T7/0012 , G06T2207/20061 , G06T2207/20081 , G06T2207/20084 , G06T2207/30024
摘要： A detector and method for automatically detecting signet ring cells in an image of a biopsy tissue sample, includes finding in the image, points about which cell membranes appear in radial symmetry; selecting as candidate points, at least ones of the points that have an adjacent nuclei with a predetermined shape feature; and applying a convolutional neural network to the candidate points to determine which of the candidate points are signet ring cells.
摘要翻译：用于在活检组织样本的图像中自动检测印戒细胞的检测器和方法包括在图像中发现关于哪个细胞膜呈径向对称的点; 选择候选点，具有具有预定形状特征的相邻核的点中的至少一个; 以及向所述候选点应用卷积神经网络，以确定所述候选点中的哪一个是所述环形蜂窝小区。

3. 发明授权

US08379961B2 Mitotic figure detector and counter system and method for detecting and counting mitotic figures 有权
标题翻译：有丝分裂图检测器和计数器系统以及检测和计数有丝分裂象的方法
公开(公告)号：US08379961B2
公开(公告)日：2013-02-19
申请号：US12496785
申请日：2009-07-02
申请人： Eric Cosatto , Harold Christopher Burger , Matthew L. Miller
发明人： Eric Cosatto , Harold Christopher Burger , Matthew L. Miller
IPC分类号： G06K9/00
CPC分类号： G06K9/00147
摘要： 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.
摘要翻译：一种用于检测和计数用至少一种染料染色的活检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。

4. 发明申请

US20090297007A1 Automated Method and System for Nuclear Analysis of Biopsy Images 有权
标题翻译：活检图像核分析的自动化方法和系统
公开(公告)号：US20090297007A1
公开(公告)日：2009-12-03
申请号：US12131346
申请日：2008-06-02
申请人： Eric Cosatto , Hans-Peter Graf , Matthew L. Miller
发明人： Eric Cosatto , Hans-Peter Graf , Matthew L. Miller
IPC分类号： A61B5/00
CPC分类号： G06T7/0012 , G06K9/00147 , G06T2207/10056 , G06T2207/20081 , G06T2207/20116 , G06T2207/30024
摘要： An automated method and system for analyzing a digital image of a biopsy to determine whether the biopsy is normal or abnormal, i.e., exhibits some type of disease such as, but not limited to, cancer. In the method and system, a classifier is trained to recognize well formed nuclei outlines from imperfect nuclei outlines in digital biopsy images. The trained classifier may then be used to filter nuclei outlines from one or more digital biopsy images to be analyzed, to obtain the well formed nuclei outlines. The well formed nuclei outlines may then be used to obtain statistics on the size or area of the nuclei for use in determining whether the biopsy is normal or abnormal.
摘要翻译：一种用于分析活组织检查的数字图像以确定活组织检查是正常还是异常的自动化方法和系统，即呈现某种类型的疾病，例如但不限于癌症。在该方法和系统中，训练分类器以识别数字活检图像中不完美核子轮廓的良好形成的细胞核轮廓。然后训练的分类器可用于从要分析的一个或多个数字活检图像中过滤细胞核轮廓，以获得良好形成的细胞核轮廓。然后可以使用良好形成的核轮廓来获得关于核的大小或面积的统计数据，以用于确定活检是否正常或异常。

5. 发明申请

US20100004915A1 Epithelial Layer Detector and Related Methods 有权
标题翻译：上皮层检测器及相关方法
公开(公告)号：US20100004915A1
公开(公告)日：2010-01-07
申请号：US12496802
申请日：2009-07-02
申请人： Matthew L. Miller , Christopher Malon
发明人： Matthew L. Miller , Christopher Malon
IPC分类号： G06G7/60 , C12M1/34
CPC分类号： G06K9/4628 , G06K9/0014 , G06K9/00147 , G06K9/2018 , G06N3/0454
摘要： 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.
摘要翻译：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。

6. 发明授权

US08135202B2 Automated method and system for nuclear analysis of biopsy images 有权
标题翻译：活检图像的核分析自动化方法和系统
公开(公告)号：US08135202B2
公开(公告)日：2012-03-13
申请号：US12131346
申请日：2008-06-02
申请人： Eric Cosatto , Hans-Peter Graf , Matthew L. Miller
发明人： Eric Cosatto , Hans-Peter Graf , Matthew L. Miller
IPC分类号： G06K9/00
CPC分类号： G06T7/0012 , G06K9/00147 , G06T2207/10056 , G06T2207/20081 , G06T2207/20116 , G06T2207/30024
摘要： An automated method and system for analyzing a digital image of a biopsy to determine whether the biopsy is normal or abnormal, i.e., exhibits some type of disease such as, but not limited to, cancer. In the method and system, a classifier is trained to recognize well formed nuclei outlines from imperfect nuclei outlines in digital biopsy images. The trained classifier may then be used to filter nuclei outlines from one or more digital biopsy images to be analyzed, to obtain the well formed nuclei outlines. The well formed nuclei outlines may then be used to obtain statistics on the size or area of the nuclei for use in determining whether the biopsy is normal or abnormal.
摘要翻译：一种用于分析活组织检查的数字图像以确定活组织检查是正常还是异常的自动化方法和系统，即呈现某种类型的疾病，例如但不限于癌症。在该方法和系统中，训练分类器以识别数字活检图像中不完美核子轮廓的良好形成的细胞核轮廓。然后训练的分类器可用于从要分析的一个或多个数字活检图像中过滤细胞核轮廓，以获得良好形成的细胞核轮廓。然后可以使用良好形成的核轮廓来获得关于核的大小或面积的统计数据，以用于确定活检是否正常或异常。

7. 发明申请

US20100002920A1 Mitotic Figure Detector and Counter System and Method for Detecting and Counting Mitotic Figures 有权
标题翻译：有丝分裂图检测器和对照系统及检测和计数有丝分裂图的方法
公开(公告)号：US20100002920A1
公开(公告)日：2010-01-07
申请号：US12496785
申请日：2009-07-02
申请人： Eric Cosatto , Harold Christopher Burger , Matthew L. Miller
发明人： Eric Cosatto , Harold Christopher Burger , Matthew L. Miller
IPC分类号： G06K9/00
CPC分类号： G06K9/00147
摘要： 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.
摘要翻译：一种用于检测和计数用至少一种染料染色的活检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。

8. 发明授权

US08341100B2 Epithelial layer detector and related methods 有权
标题翻译：上皮层检测器及相关方法
公开(公告)号：US08341100B2
公开(公告)日：2012-12-25
申请号：US12496802
申请日：2009-07-02
申请人： Matthew L. Miller , Christopher Malon
发明人： Matthew L. Miller , Christopher Malon
IPC分类号： G06E1/00 , G06E3/00 , G06F15/18 , G06G7/00 , G06N3/02
CPC分类号： G06K9/4628 , G06K9/0014 , G06K9/00147 , G06K9/2018 , G06N3/0454
摘要： 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.
摘要翻译：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组织中位于所述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。

9. 发明申请

US20140038857A1 Lost Circulation Material With A Multi-Modal Large Particle Size Distribution 审中-公开
标题翻译：具有多模态大粒径分布的失重循环材料
公开(公告)号：US20140038857A1
公开(公告)日：2014-02-06
申请号：US13563519
申请日：2012-07-31
申请人： Matthew L. Miller , Donald L. Whitfill
发明人： Matthew L. Miller , Donald L. Whitfill
IPC分类号： C09K8/035
CPC分类号： C09K8/035 , C09K2208/04
摘要： Compositions for lost circulation materials (LCM) and methods for using same in drilling and/or completing wellbores that help solve lost circulation problems in a wide range of fracture sizes, thereby advantageously eliminating the need for a variety of products for lost circulation in a field at any one time. An unexpected synergy and improved reduction in lost circulation is obtained. The invention provides specific LCM components in specific ratios that are analogs to lost circulation fractures and that yield superior performance in preventing or alleviating lost circulation in drilling and cementing boreholes. The invention compositions have a multi-modal particle size distribution (PSD) which provides a higher concentration of component materials in the same range of two or more fracture widths, thus allowing plugging to occur over a wider range than a single mode or narrow PSD.
摘要翻译：用于漏失循环材料的组合物（LCM）及其在钻井和/或完井孔中的使用方法，其有助于解决大范围的断裂尺寸中的流失问题，从而有利地消除了对各种产品在场中的流失的需要在任何一个时间获得了意想不到的协同效应和改善的流失量的减少。本发明提供特定比例的特定比例的LCM组分，其类似于失水循环裂缝，并且在防止或减轻钻井和固井钻孔中的流失中产生优异的性能。本发明组合物具有多模态粒度分布（PSD），其在两个或多个断裂宽度的相同范围内提供更高浓度的组分材料，从而允许在比单模式或窄PSD更宽的范围内发生堵塞。

10. 发明申请

US20130082197A1 SEMICONDUCTOR PROCESSING SYSTEM AND METHODS USING CAPACITIVELY COUPLED PLASMA 审中-公开
公开(公告)号：US20130082197A1
公开(公告)日：2013-04-04
申请号：US13251714
申请日：2011-10-03
申请人： Jang-Gyoo Yang , Matthew L. Miller , Xinglong Chen , Kien N. Chuc , Qiwei Liang , Shankar Venkataraman , Dmitry Lubomirsky
发明人： Jang-Gyoo Yang , Matthew L. Miller , Xinglong Chen , Kien N. Chuc , Qiwei Liang , Shankar Venkataraman , Dmitry Lubomirsky
IPC分类号： G21K1/00
CPC分类号： H01J37/32091 , H01J37/32422
摘要： Substrate processing systems are described that have a capacitively coupled plasma (CCP) unit positioned inside a process chamber. The CCP unit may include a plasma excitation region formed between a first electrode and a second electrode. The first electrode may include a first plurality of openings to permit a first gas to enter the plasma excitation region, and the second electrode may include a second plurality of openings to permit an activated gas to exit the plasma excitation region. The system may further include a gas inlet for supplying the first gas to the first electrode of the CCP unit, and a pedestal that is operable to support a substrate. The pedestal is positioned below a gas reaction region into which the activated gas travels from the CCP unit.

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