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公开(公告)号:US10445768B1
公开(公告)日:2019-10-15
申请号:US15615421
申请日:2017-06-06
Applicant: Google LLC
Inventor: Michael Frumkin , Karthik Gopalratnam , Khanh B. Nguyen , Ralph U. Gasser , Gregory J. Friedman
Abstract: Advertisement quality measures (e.g., predicted click through rates) are modified in accordance with a user's preferences with respect to domains to which the advertisements relate.
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公开(公告)号:US20180349770A1
公开(公告)日:2018-12-06
申请号:US15979104
申请日:2018-05-14
Applicant: Google LLC
Inventor: Philip Charles Nelson , Eric Martin Christiansen , Marc Berndl , Michael Frumkin
CPC classification number: G06N3/08 , G06K9/00127 , G06N3/02 , G06N3/0454 , G06T7/60 , G06T2207/20084
Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for processing cell images using neural networks. One of the methods includes obtaining data comprising an input image of one or more biological cells illuminated with an optical microscopy technique; processing the data using a stained cell neural network; and processing the one or more stained cell images using a cell characteristic neural network, wherein the cell characteristic neural network has been configured through training to receive the one or more stained cell images and to process the one or more stained cell images to generate a cell characteristic output that characterizes features of the biological cells that are stained in the one or more stained cell images.
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公开(公告)号:US20180089199A1
公开(公告)日:2018-03-29
申请号:US15816846
申请日:2017-11-17
Applicant: Google LLC
Inventor: Michael Frumkin , Benedict A. Gomes , Christopher Rohrs , Shashi Seth , Avni Stocky , Bay-Wei Chang , Xiangtian Dai , Kushal Dave , Paul Fontes
IPC: G06F17/30 , G06F3/0484
CPC classification number: G06F16/24578 , G06F3/0484 , G06F16/248 , G06F16/951
Abstract: A method of presenting computer-generated search result information can include receiving a search request from a client computer; identifying a plurality of search results responsive to the search request; ranking the plurality of search results using content in one or more web notebooks; and providing the ranked plurality of search results for presentation in the client computer. Using the content can include determining whether at least one of a title, a heading, clipped content, metadata or a user-annotation in at least one web notebook relates to the search request and, if so, increasing a ranking of at least one search result referenced by the at least one web notebook.
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公开(公告)号:US11915134B2
公开(公告)日:2024-02-27
申请号:US17943089
申请日:2022-09-12
Applicant: Google LLC
Inventor: Philip Charles Nelson , Eric Martin Christiansen , Marc Berndl , Michael Frumkin
Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for processing cell images using neural networks. One of the methods includes obtaining data comprising an input image of one or more biological cells illuminated with an optical microscopy technique; processing the data using a stained cell neural network; and processing the one or more stained cell images using a cell characteristic neural network, wherein the cell characteristic neural network has been configured through training to receive the one or more stained cell images and to process the one or more stained cell images to generate a cell characteristic output that characterizes features of the biological cells that are stained in the one or more stained cell images.
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公开(公告)号:US11775535B2
公开(公告)日:2023-10-03
申请号:US16710895
申请日:2019-12-11
Applicant: Google LLC
Inventor: Michael Frumkin , Benedict A. Gomes , Christopher Rohrs , Shashi Seth , Avni Stocky , Bay-Wei Chang , Xiangtian Dai , Kushal Dave , Paul Fontes
IPC: G06F16/20 , G06F16/2457 , G06F16/248 , G06F16/951 , G06F3/0484
CPC classification number: G06F16/24578 , G06F3/0484 , G06F16/248 , G06F16/951
Abstract: A method of presenting computer-generated search result information can include receiving a search request from a client computer; identifying a plurality of search results responsive to the search request; ranking the plurality of search results using content in one or more web notebooks; and providing the ranked plurality of search results for presentation in the client computer. Using the content can include determining whether at least one of a title, a heading, clipped content, metadata or a user-annotation in at least one web notebook relates to the search request and, if so, increasing a ranking of at least one search result referenced by the at least one web notebook.
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公开(公告)号:US20200320394A1
公开(公告)日:2020-10-08
申请号:US16905714
申请日:2020-06-18
Applicant: Google LLC
Inventor: Philip Charles Nelson , Eric Martin Christiansen , Marc Berndl , Michael Frumkin
Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for processing cell images using neural networks. One of the methods includes obtaining data comprising an input image of one or more biological cells illuminated with an optical microscopy technique; processing the data using a stained cell neural network; and processing the one or more stained cell images using a cell characteristic neural network, wherein the cell characteristic neural network has been configured through training to receive the one or more stained cell images and to process the one or more stained cell images to generate a cell characteristic output that characterizes features of the biological cells that are stained in the one or more stained cell images.
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公开(公告)号:US20230114552A1
公开(公告)日:2023-04-13
申请号:US17943089
申请日:2022-09-12
Applicant: Google LLC
Inventor: Philip Charles Nelson , Eric Martin Christiansen , Marc Berndl , Michael Frumkin
Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for processing cell images using neural networks. One of the methods includes obtaining data comprising an input image of one or more biological cells illuminated with an optical microscopy technique; processing the data using a stained cell neural network; and processing the one or more stained cell images using a cell characteristic neural network, wherein the cell characteristic neural network has been configured through training to receive the one or more stained cell images and to process the one or more stained cell images to generate a cell characteristic output that characterizes features of the biological cells that are stained in the one or more stained cell images.
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公开(公告)号:US10521438B2
公开(公告)日:2019-12-31
申请号:US15816846
申请日:2017-11-17
Applicant: Google LLC
Inventor: Michael Frumkin , Benedict A. Gomes , Christopher Rohrs , Shashi Seth , Avni Stocky , Bay-Wei Chang , Xiangtian Dai , Kushal Dave , Paul Fontes
IPC: G06F16/30 , G06F16/2457 , G06F16/248 , G06F16/951 , G06F3/0484
Abstract: A method of presenting computer-generated search result information can include receiving a search request from a client computer; identifying a plurality of search results responsive to the search request; ranking the plurality of search results using content in one or more web notebooks; and providing the ranked plurality of search results for presentation in the client computer. Using the content can include determining whether at least one of a title, a heading, clipped content, metadata or a user-annotation in at least one web notebook relates to the search request and, if so, increasing a ranking of at least one search result referenced by the at least one web notebook.
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公开(公告)号:US11443190B2
公开(公告)日:2022-09-13
申请号:US16905714
申请日:2020-06-18
Applicant: Google LLC
Inventor: Philip Charles Nelson , Eric Martin Christiansen , Marc Berndl , Michael Frumkin
Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for processing cell images using neural networks. One of the methods includes obtaining data comprising an input image of one or more biological cells illuminated with an optical microscopy technique; processing the data using a stained cell neural network; and processing the one or more stained cell images using a cell characteristic neural network, wherein the cell characteristic neural network has been configured through training to receive the one or more stained cell images and to process the one or more stained cell images to generate a cell characteristic output that characterizes features of the biological cells that are stained in the one or more stained cell images.
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公开(公告)号:US10692001B2
公开(公告)日:2020-06-23
申请号:US15979104
申请日:2018-05-14
Applicant: Google LLC
Inventor: Philip Charles Nelson , Eric Martin Christiansen , Marc Berndl , Michael Frumkin
Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for processing cell images using neural networks. One of the methods includes obtaining data comprising an input image of one or more biological cells illuminated with an optical microscopy technique; processing the data using a stained cell neural network; and processing the one or more stained cell images using a cell characteristic neural network, wherein the cell characteristic neural network has been configured through training to receive the one or more stained cell images and to process the one or more stained cell images to generate a cell characteristic output that characterizes features of the biological cells that are stained in the one or more stained cell images.
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