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公开(公告)号：US20230260126A1
公开(公告)日：2023-08-17
申请号：US18305789
申请日：2023-04-24
Applicant: Google LLC
Inventor： Lily Hao Yi Peng , Dale R. Webster , Philip Charles Nelson , Varun Gulshan , Marc Adlai Coram , Martin Christian Stumpe , Derek Janme Wu , Arunachalam Narayanaswamy , Avinash Vaidyanathan Varadarajan , Katharine Blumer , Yun Liu , Ryan Poplin
CPC classification number: G06T7/0016 , G16H50/30 , G16H50/20 , G06N3/044 , G06N3/08 , G01N2800/168 , G01N2800/164 , G06T2207/10016 , G06T2207/20076 , G06T2207/20081 , G06T2207/30041
Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for processing fundus images using fundus image processing machine learning models. One of the methods includes obtaining a model input comprising one or more fundus images, each fundus image being an image of a fundus of an eye of a patient; processing the model input using a fundus image processing machine learning model, wherein the fundus image processing machine learning model is configured to process the model input comprising the one or more fundus image to generate a model output; and processing the model output to generate health analysis data.
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公开(公告)号：US11132416B1
公开(公告)日：2021-09-28
申请号：US16419421
申请日：2019-05-22
Applicant: Google LLC
Inventor： Martin Christian Stumpe , Liron Yatziv , Dar-Shyang Lee , Qian Yu , Oded Fuhrmann , Vinay Damodar Shet , Sacha Christophe Arnoud
IPC: G06F16/9537 , G06K9/62 , G06Q30/02 , G06F17/40 , G06K9/00 , G06F16/587 , G06F16/50
Abstract: Aspects of the disclosure provide for a method for updating business information. A business at a business location and a reference image for the business at the business location may be selected for an update. From a number of more recent images, a comparison image may be selected based on a likelihood that the comparison image captures the business location. Text and visual features reference image may be compared with text and visual features of the comparison image to determine a text similarity score and a features similarity score. A confidence level indicating whether the business in the reference image is in the comparison image may then be determined using the text similarity score and the feature similarity score. According to the confidence level, the business information of the business may be updated.
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公开(公告)号：US11636601B2
公开(公告)日：2023-04-25
申请号：US17212811
申请日：2021-03-25
Applicant: GOOGLE LLC
Inventor： Lily Hao Yi Peng , Dale R. Webster , Philip Charles Nelson , Varun Gulshan , Marc Adlai Coram , Martin Christian Stumpe , Derek Janme Wu , Arunachalam Narayanaswamy , Avinash Vaidyanathan Varadarajan , Katharine Blumer , Yun Liu , Ryan Poplin
Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for processing fundus images using fundus image processing machine learning models. One of the methods includes obtaining a model input comprising one or more fundus images, each fundus image being an image of a fundus of an eye of a patient; processing the model input using a fundus image processing machine learning model, wherein the fundus image processing machine learning model is configured to process the model input comprising the one or more fundus image to generate a model output; and processing the model output to generate health analysis data.
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公开(公告)号：US20200097727A1
公开(公告)日：2020-03-26
申请号：US16495302
申请日：2017-06-13
Applicant: Google LLC
Inventor： Martin Christian Stumpe
Abstract: A microscope of the type used by a pathologist to view slides containing biological samples such as tissue or blood is provided with the projection of enhancements to the field of view, such as a heatmap, border, or annotations, substantially in real time as the slide is moved to new locations or changes in magnification or focus occur. The enhancements assist the pathologist in characterizing or classifying the sample, such as being positive for the presence of cancer cells or pathogens.
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5.发明申请公开(公告)号：US20200066407A1
公开(公告)日：2020-02-27
申请号：US16488029
申请日：2017-02-23
Applicant: Google LLC
Inventor： Martin Christian Stumpe , Lily Peng , Yun Liu , Krishna K. Gadepalli , Timo Kohlberger
Abstract: A method, system and machine for assisting a pathologist in identifying the presence of tumor cells in lymph node tissue is disclosed. The digital image of lymph node tissue at a first magnification (e.g., 40×) is subdivided into a multitude of rectangular “patches.” A likelihood of malignancy score is then determined for each of the patches. The score is obtained by analyzing pixel data from the patch (e.g., pixel data centered on and including the patch) using a computer system programmed as an ensemble of deep neural network pattern recognizers, each operating on different magnification levels of the patch. A representation or “heatmap” of the slide is generated. Each of the patches is assigned a color or grayscale value in accordance with (1) the likelihood of malignancy score assigned to the patch by the combined outputs of the ensemble of deep neural network pattern recognizers and (2) a code which assigns distinct colors (or grayscale values) to different values of likelihood of malignancy scores assigned to the patches.
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Patent Agency Ranking
公开(公告)号：US20210224541A1
公开(公告)日：2021-07-22
申请号：US17224688
申请日：2021-04-07
Applicant: Google LLC
Inventor： Martin Christian Stumpe
Abstract: A microscope of the type used by a pathologist to view slides containing biological samples such as tissue or blood is provided with the projection of enhancements to the field of view, such as a heatmap, border, or annotations, substantially in real time as the slide is moved to new locations or changes in magnification or focus occur. The enhancements assist the pathologist in characterizing or classifying the sample, such as being positive for the presence of cancer cells or pathogens.
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公开(公告)号：US10970841B2
公开(公告)日：2021-04-06
申请号：US16325580
申请日：2017-08-18
Applicant: GOOGLE LLC
Inventor： Lily Hao Yi Peng , Dale R. Webster , Philip Charles Nelson , Varun Gulshan , Marc Adlai Coram , Martin Christian Stumpe , Derek Janme Wu , Arunachalam Narayanaswamy , Avinash Vaidyanathan Varadarajan , Katharine Blumer , Yun Liu , Ryan Poplin
Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for processing fundus images using fundus image processing machine learning models. One of the methods includes obtaining a model input comprising one or more fundus images, each fundus image being an image of a fundus of an eye of a patient; processing the model input using a fundus image processing machine learning model, wherein the fundus image processing machine learning model is configured to process the model input comprising the one or more fundus image to generate a model output; and processing the model output to generate health analysis data.
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公开(公告)号：US11594024B2
公开(公告)日：2023-02-28
申请号：US17224688
申请日：2021-04-07
Applicant: Google LLC
Inventor： Martin Christian Stumpe
Abstract: A microscope of the type used by a pathologist to view slides containing biological samples such as tissue or blood is provided with the projection of enhancements to the field of view, such as a heatmap, border, or annotations, substantially in real time as the slide is moved to new locations or changes in magnification or focus occur. The enhancements assist the pathologist in characterizing or classifying the sample, such as being positive for the presence of cancer cells or pathogens.
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9.发明授权公开(公告)号：US11170897B2
公开(公告)日：2021-11-09
申请号：US16488029
申请日：2017-02-23
Applicant: Google LLC
Inventor： Martin Christian Stumpe , Lily Peng , Yun Liu , Krishna K. Gadepalli , Timo Kohlberger
Abstract: A method, system and machine for assisting a pathologist in identifying the presence of tumor cells in lymph node tissue is disclosed. The digital image of lymph node tissue at a first magnification (e.g., 40×) is subdivided into a multitude of rectangular “patches.” A likelihood of malignancy score is then determined for each of the patches. The score is obtained by analyzing pixel data from the patch (e.g., pixel data centered on and including the patch) using a computer system programmed as an ensemble of deep neural network pattern recognizers, each operating on different magnification levels of the patch. A representation or “heatmap” of the slide is generated. Each of the patches is assigned a color or grayscale value in accordance with (1) the likelihood of malignancy score assigned to the patch by the combined outputs of the ensemble of deep neural network pattern recognizers and (2) a code which assigns distinct colors (or grayscale values) to different values of likelihood of malignancy scores assigned to the patches.
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公开(公告)号：US20210209762A1
公开(公告)日：2021-07-08
申请号：US17212811
申请日：2021-03-25
Applicant: GOOGLE LLC
Inventor： Lily Hao Yi Peng , Dale R. Webster , Philip Charles Nelson , Varun Gulshan , Marc Adlai Coram , Martin Christian Stumpe , Derek Janme Wu , Arunachalam Narayanaswamy , Avinash Vaidyanathan Varadarajan , Katharine Blumer , Yun Liu , Ryan Poplin
Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for processing fundus images using fundus image processing machine learning models. One of the methods includes obtaining a model input comprising one or more fundus images, each fundus image being an image of a fundus of an eye of a patient; processing the model input using a fundus image processing machine learning model, wherein the fundus image processing machine learning model is configured to process the model input comprising the one or more fundus image to generate a model output; and processing the model output to generate health analysis data.
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