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公开(公告)号:US20150272527A1
公开(公告)日:2015-10-01
申请号:US14230852
申请日:2014-03-31
Applicant: GENERAL ELECTRIC COMPANY
Inventor: Ajay Narayanan , Bipul Das , Vignesh Thirukazhukundram Subrahmaniam
CPC classification number: A61B6/482 , A61B6/032 , A61B6/4035 , A61B6/4241 , A61B6/481 , A61B6/5205 , A61B6/5217 , A61B6/5258 , G06K9/46 , G06T5/009 , G06T5/50 , G06T7/0012 , G06T15/08 , G06T2207/10072 , G06T2207/10081 , G06T2207/10116 , G06T2207/20221 , G06T2207/30004
Abstract: Identification of an optimal monochromatic energy for displaying monochromatic images is disclosed. In certain embodiments, determination of an optimal monochromatic energy may be performed by generating histograms for various monochromatic images generated based on a set of acquired multi-energy projections and by evaluating the histogram dispersion for the respective histograms.
Abstract translation: 公开了用于显示单色图像的最佳单色能的识别。 在某些实施例中,可以通过生成基于所获取的多能量投影的集合生成的各种单色图像并通过评估各个直方图的直方图色散来执行最佳单色能量的确定。
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2.
公开(公告)号:US08912512B1
公开(公告)日:2014-12-16
申请号:US13927543
申请日:2013-06-26
Applicant: General Electric Company
Inventor: Rajesh Veera Venkata Lakshmi Langoju , Abhijit Vishwas Patil , Sridhar Dasaratha , Vignesh Thirukazhukundram Subrahmaniam , Dmitry Vladimirovich Dylov , Siavash Yazdanfar , Stephen B. Solomon
IPC: G01N21/64
CPC classification number: G01N21/31 , A61B5/0075 , A61B5/0084 , A61B5/14546 , A61B5/1455 , A61B5/6849
Abstract: A method for classifying a tissue sample of a biopsy specimen into one of a plurality of classes is presented. The method includes receiving a light from at least one location of the tissue sample including a plurality of chromophores, wherein the received light comprises at least one of an attenuated illumination light and a re-emitted light. The method further includes processing a spectrum of the received light to determine a feature for each of the chromophores in the at least one location of the tissue sample. In addition, the method includes estimating a Z-score for each of the chromophores based on the determined feature. Also, the method includes classifying the tissue sample into one of the plurality of classes based on the estimated Z-score for each of the chromophores.
Abstract translation: 提出了将活检标本的组织样本分类为多个类别之一的方法。 该方法包括从包括多个发色团的组织样本的至少一个位置接收光,其中所接收的光包括衰减照明光和再发射光中的至少一个。 该方法还包括处理所接收的光的光谱以确定组织样本的至少一个位置中的每个发色团的特征。 此外,该方法包括基于所确定的特征来估计每个发色团的Z分数。 此外,该方法包括基于每个发色团的估计的Z分数将组织样本分类为多个类中的一个。
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公开(公告)号:US09713452B2
公开(公告)日:2017-07-25
申请号:US14230852
申请日:2014-03-31
Applicant: GENERAL ELECTRIC COMPANY
Inventor: Ajay Narayanan , Bipul Das , Vignesh Thirukazhukundram Subrahmaniam
CPC classification number: A61B6/482 , A61B6/032 , A61B6/4035 , A61B6/4241 , A61B6/481 , A61B6/5205 , A61B6/5217 , A61B6/5258 , G06K9/46 , G06T5/009 , G06T5/50 , G06T7/0012 , G06T15/08 , G06T2207/10072 , G06T2207/10081 , G06T2207/10116 , G06T2207/20221 , G06T2207/30004
Abstract: Identification of an optimal monochromatic energy for displaying monochromatic images is disclosed. In certain embodiments, determination of an optimal monochromatic energy may be performed by generating histograms for various monochromatic images generated based on a set of acquired multi-energy projections and by evaluating the histogram dispersion for the respective histograms.
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4.
公开(公告)号:US20150001420A1
公开(公告)日:2015-01-01
申请号:US13927543
申请日:2013-06-26
Applicant: General Electric Company
Inventor: Rajesh Veera Venkata Lakshmi Langoju , Abhijit Vishwas Patil , Sridhar Dasaratha , Vignesh Thirukazhukundram Subrahmaniam , Dmitry Vladimirovich Dylov , Siavash Yazdanfar , Stephen B. Solomon
IPC: G01N21/64
CPC classification number: G01N21/31 , A61B5/0075 , A61B5/0084 , A61B5/14546 , A61B5/1455 , A61B5/6849
Abstract: A method for classifying a tissue sample of a biopsy specimen into one of a plurality of classes is presented. The method includes receiving a light from at least one location of the tissue sample including a plurality of chromophores, wherein the received light comprises at least one of an attenuated illumination light and a re-emitted light. The method further includes processing a spectrum of the received light to determine a feature for each of the chromophores in the at least one location of the tissue sample. In addition, the method includes estimating a Z-score for each of the chromophores based on the determined feature. Also, the method includes classifying the tissue sample into one of the plurality of classes based on the estimated Z-score for each of the chromophores.
Abstract translation: 提出了将活检标本的组织样本分类为多个类别之一的方法。 该方法包括从包括多个发色团的组织样本的至少一个位置接收光,其中所接收的光包括衰减照明光和再发射光中的至少一个。 该方法还包括处理所接收的光的光谱以确定组织样本的至少一个位置中的每个发色团的特征。 此外,该方法包括基于所确定的特征来估计每个发色团的Z分数。 此外,该方法包括基于每个发色团的估计的Z分数将组织样本分类为多个类中的一个。
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