Invention Grant
- Patent Title: Processing fundus images using machine learning models
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Application No.: US16325580Application Date: 2017-08-18
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Publication No.: US10970841B2Publication Date: 2021-04-06
- 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
- Applicant: GOOGLE LLC
- Applicant Address: US CA Mountain View
- Assignee: GOOGLE LLC
- Current Assignee: GOOGLE LLC
- Current Assignee Address: US CA Mountain View
- Agency: Fish & Richardson P.C.
- International Application: PCT/US2017/047639 WO 20170818
- International Announcement: WO2018/035473 WO 20180222
- Main IPC: G06T7/00
- 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.
Public/Granted literature
- US20190180441A1 PROCESSING FUNDUS IMAGES USING MACHINE LEARNING MODELS Public/Granted day:2019-06-13
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