Risk assessment based on patient similarity determined using image analysis

    公开(公告)号:US10283221B2

    公开(公告)日:2019-05-07

    申请号:US15336252

    申请日:2016-10-27

    IPC分类号: G06K9/00 G16H50/30 G06T7/00

    摘要: A method for risk assessment comprises receiving one or more images of a plurality of lesions captured from a body of a target person, generating one or more digital signatures based on the one or more images from the body of the target person, comparing the generated one or more digital signatures to digital signatures of respective reference persons, wherein the comparing comprises measuring similarities between the generated one or more digital signatures and the digital signatures of the respective reference persons, and determining a risk factor for the target person of developing a disease based on the measured similarities and predetermined risk factors of developing the disease for the reference persons.

    Early Prediction of Hypertensive Retinopathy
    94.
    发明申请

    公开(公告)号:US20180289252A1

    公开(公告)日:2018-10-11

    申请号:US15485023

    申请日:2017-04-11

    IPC分类号: A61B3/00 A61B3/12 A61B3/14

    摘要: An embodiment of the invention receives by an interface a retinal image from a patient, and identifies by a feature extraction device vessel fragments in the retinal image. The vessel fragments include at least a portion of a major vessel and at least a portion of a branch connected to a major vessel. A processor computes estimated blood flow velocities in the vessel fragments with a blood flow velocity estimation model and determines actual blood flow velocities in the vessel fragments. An analysis engine compares the actual blood flow velocities in the vessel fragments to the estimated blood flow velocities in the vessel fragments. The analysis engine detects a candidate plaque affected vessel fragment when the estimated blood flow velocities in the vessel fragments differs from the actual blood flow velocities in the vessel fragments by a predetermined amount.

    AUTOMATED SKIN LESION SEGMENTATION USING DEEP SIDE LAYERS

    公开(公告)号:US20180130203A1

    公开(公告)日:2018-05-10

    申请号:US15642717

    申请日:2017-07-06

    IPC分类号: G06T7/00

    摘要: A method for computer-aided diagnosis of skin lesions includes obtaining a dermoscopic image, convolving the dermoscopic image in a plurality of convolutional layers, obtaining deconvolved outputs of at least two convolutional layers of the plurality of convolutional layers, obtaining side-output feature maps by applying loss functions to the deconvolved outputs of the at least two convolutional layers, obtaining a first concatenated feature map by concatenating the side-output feature maps with different first weights, obtaining a second concatenated feature map by concatenating the side-output feature maps with different second weights, and producing a final score map by convolving the first and second concatenated feature maps in a final convolutional layer followed by a loss layer. Also disclosed: a computer-readable medium embodying instructions for the method, and an apparatus configured to implement the method.