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12 条记录 (耗时 0.018 秒)

    CORRECTING DIFFERENCES IN MULTI-SCANNERS FOR DIGITAL PATHOLOGY IMAGES USING DEEP LEARNING
    4.
    发明公开
    CORRECTING DIFFERENCES IN MULTI-SCANNERS FOR DIGITAL PATHOLOGY IMAGES USING DEEP LEARNING 审中-公开

    公开(公告)号：US20230230242A1

    公开(公告)日：2023-07-20

    申请号：US18170788

    申请日：2023-02-17

    申请人： Ventana Medical Systems, Inc.

    发明人： Auranuch Lorsakul ,  Zuo Zhao ,  Yao Nie ,  Xingwei Wang ,  Kien Nguyen

    IPC分类号： G06T7/00

    CPC分类号： G06T7/0012 ,  G06T2207/20084

    摘要： The present disclosure relates to techniques for transforming digital pathology images obtained by different slide scanners into a common format for image analysis. Particularly, aspects of the present disclosure are directed to obtaining a source image of a biological specimen, the source image is generated from a first type of scanner, inputting into a generator model a randomly generated noise vector and a latent feature vector from the source image as input data, generating, by the generator model, a new image based on the input data, inputting into a discriminator model the new image, generating, by the discriminator model, a probability for the new image being authentic or fake, determining whether the new image is authentic or fake based on the generated probability, and outputting the new image when the image is authentic.

    Quantitation of Signal in Stain Agrregates
    7.
    发明申请
    Quantitation of Signal in Stain Agrregates 有权

    公开(公告)号：US20220148176A1

    公开(公告)日：2022-05-12

    申请号：US17586982

    申请日：2022-01-28

    申请人： Ventana Medical Systems, Inc.

    发明人： Joerg BREDNO ,  Auranuch Lorsakul

    IPC分类号： G06T7/00 ,  G06T7/62 ,  G06T7/194

    摘要： The present application provides for systems and methods for detecting and estimating signals corresponding to one or more biomarkers in biological samples stained for the presence of protein and/or nucleic acid biomarkers. On particular aspect is directed to a method of estimating an amount of signal corresponding to at least one biomarker in an image of a biological sample. The method includes detecting isolated spots in a first image, deriving an optical density value of a representative isolated spot based on signal features from the detected isolated spots, estimating a number of predictive spots in signal aggregates in each of a plurality of sub-regions based on the derived optical density value of the representative isolated spot, and storing the estimated number of predictive spots and detected isolated spots in each of the plurality of generated sub-regions in a database.

    SYNTHESIS SINGLEPLEX FROM MULTIPLEX BRIGHTFIELD IMAGING USING GENERATIVE ADVERSARIAL NETWORK
    9.
    发明公开
    SYNTHESIS SINGLEPLEX FROM MULTIPLEX BRIGHTFIELD IMAGING USING GENERATIVE ADVERSARIAL NETWORK 审中-公开

    公开(公告)号：US20230186470A1

    公开(公告)日：2023-06-15

    申请号：US18064844

    申请日：2022-12-12

    申请人： Ventana Medical Systems, Inc.

    发明人： Jungwon Kim ,  Auranuch Lorsakul ,  Yao Nie ,  Xingwei Wang ,  Zuo Zhao

    IPC分类号： G06T7/00 ,  G06V10/70 ,  G01N33/53

    CPC分类号： G06T7/0012 ,  G06V10/70 ,  G01N33/53 ,  G06T2207/30024

    摘要： A multiplex image is accessed that depicts a particular slice of a particular sample stained with two or more dyes. Using a Generator network, a predicted singleplex image is generated that depicts the particular slice of the particular sample stained with each of the expressing biomarkers. The Generator network may have been trained by training a machine-learning model using a set of training multiplex images and a set of training singleplex images. Each of the set of training multiplex images depicted a slice of a sample stained with two or more dyes. Each of the set of training singleplex images depicted a slice of a sample stained with a single dye. The machine-learning model included a Discriminator network configured to discriminate whether a given image was generated by the Generator network or was a singleplex image of a real slide. The method further includes outputs the predicted singleplex image.

    Quantitation of signal in stain aggregates
    10.
    发明授权
    Quantitation of signal in stain aggregates 有权

    公开(公告)号：US11615532B2

    公开(公告)日：2023-03-28

    申请号：US17586982

    申请日：2022-01-28

    申请人： Ventana Medical Systems, Inc.

    发明人： Joerg Bredno ,  Auranuch Lorsakul

    IPC分类号： G06T7/00 ,  G06T7/62 ,  G06T7/194

    摘要： The present application provides for systems and methods for detecting and estimating signals corresponding to one or more biomarkers in biological samples stained for the presence of protein and/or nucleic acid biomarkers. On particular aspect is directed to a method of estimating an amount of signal corresponding to at least one biomarker in an image of a biological sample. The method includes detecting isolated spots in a first image, deriving an optical density value of a representative isolated spot based on signal features from the detected isolated spots, estimating a number of predictive spots in signal aggregates in each of a plurality of sub-regions based on the derived optical density value of the representative isolated spot, and storing the estimated number of predictive spots and detected isolated spots in each of the plurality of generated sub-regions in a database.