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    PROCESSING FUNDUS CAMERA IMAGES USING MACHINE LEARNING MODELS TRAINED USING OTHER MODALITIES
    9.
    发明申请
    PROCESSING FUNDUS CAMERA IMAGES USING MACHINE LEARNING MODELS TRAINED USING OTHER MODALITIES 有权

    公开(公告)号：US20210357696A1

    公开(公告)日：2021-11-18

    申请号：US17286392

    申请日：2018-10-17

    Applicant: GOOGLE LLC

    Inventor： Lily Hao Yi Peng ,  Dale R. Webster ,  Avinash Vaidyanathan Varadarajan ,  Pinal Bavishi

    IPC: G06K9/62 ,  G06T7/00 ,  G16H50/20 ,  G16H30/40

    Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for training a fundus image processing machine learning models that is configured to process one or more fundus images captured by a fundus camera to generate a predicted label. One of the methods includes generating training data, comprising: receiving sets of one or more training fundus images captured by a fundus camera; receiving, for each of the sets, a ground truth label assigned to a different image of the eye of the patient corresponding to the set that has been captured using a different imaging modality; and generating, for each set of training fundus images, a training example that includes the set of training fundus images in association with the ground truth label assigned to the different image of the patients eye; and training the machine learning model on the training examples in the training data.

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