The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Apr. 25, 2023

Filed:

Mar. 25, 2021
Applicant:

Google Llc, Mountain View, CA (US);

Inventors:

Lily Hao Yi Peng, Mountain View, CA (US);

Dale R. Webster, San Mateo, CA (US);

Philip Charles Nelson, San Jose, CA (US);

Varun Gulshan, Chicago, IL (US);

Marc Adlai Coram, Stanford, CA (US);

Martin Christian Stumpe, Belmont, CA (US);

Derek Janme Wu, Mountain View, CA (US);

Arunachalam Narayanaswamy, Sunnyvale, CA (US);

Avinash Vaidyanathan Varadarajan, Los Altos, CA (US);

Katharine Blumer, Mountain View, CA (US);

Yun Liu, Mountain View, CA (US);

Ryan Poplin, Sunnyvale, CA (US);

Assignee:

Google LLC, Mountain View, CA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06T 7/00 (2017.01); G16H 50/30 (2018.01); G16H 50/20 (2018.01); G06N 3/04 (2006.01); G06N 3/08 (2006.01);
U.S. Cl.
CPC ...
G06T 7/0016 (2013.01); G06N 3/0445 (2013.01); G06N 3/08 (2013.01); G16H 50/20 (2018.01); G16H 50/30 (2018.01); G01N 2800/164 (2013.01); G01N 2800/168 (2013.01); G06T 2207/10016 (2013.01); G06T 2207/20076 (2013.01); G06T 2207/20081 (2013.01); G06T 2207/30041 (2013.01);
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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