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

IPC: G06T7/00 ,  G16H50/30 ,  G16H50/20 ,  G06N3/04 ,  G06N3/08

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.

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

IPC: G06T7/00 ,  G16H50/30 ,  G16H50/20 ,  G06N3/044 ,  G06N3/08

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.

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

IPC: G06T7/00 ,  G16H50/30 ,  G16H50/20 ,  G06N3/04 ,  G06N3/08

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.

公开(公告)号：US20190180441A1

公开(公告)日：2019-06-13

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

IPC: G06T7/00 ,  G06N3/04 ,  G06N3/08 ,  G16H50/20 ,  G16H50/30

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.

公开(公告)号：US20230230232A1

公开(公告)日：2023-07-20

申请号：US18011597

申请日：2021-11-02

Applicant: Google LLC

Inventor： Yun Liu ,  Naama Hammel ,  Akinori Mitani ,  Derek Janme Wu ,  Ashish Dilipchand Bora ,  Avinash Vaidyanathan Varadarajan ,  Boris Alekandrovich Babenko

IPC: G06T7/00 ,  G16H50/50 ,  G16H30/40 ,  A61B3/12

CPC classification number: G06T7/0012 ,  G16H50/50 ,  G16H30/40 ,  A61B3/1241 ,  G06T2207/30041 ,  G06T2207/20081 ,  G06T2207/20084

Abstract: The present disclosure is directed to systems and methods that leverage machine learning for detection of eye or non-eye (e.g., systemic) diseases from external anterior eye images. In particular, a computing system can include and use one or more machine-learned disease detection models to provide disease predictions for a patient based on external anterior eye images of the patient. Specifically, in some example implementations, a computing system can obtain one or more external images that depict an anterior portion of an eye of a patient. The computing system can process the one or more external images with the one or more machine-learned disease detection models to generate a disease prediction for the patient relative to one or more diseases, including, as examples, diseases which present manifestations in a posterior of the eye (e.g., diabetic retinopathy) or systemic diseases (e.g., poorly controlled diabetes).

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

IPC: G06T7/00 ,  G16H50/30 ,  G16H50/20 ,  G06N3/04 ,  G06N3/08

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.