Method for providing an image base on a reconstructed image group and an apparatus using the same

    公开(公告)号:US11449210B2

    公开(公告)日:2022-09-20

    申请号:US16991713

    申请日:2020-08-12

    Applicant: VUNO, INC.

    Abstract: An image providing method performed by a computing apparatus includes acquiring a first image group including at least a portion of a series of images generated for continuous volumes with a first slice thickness belonging to a subject, providing, as a current viewing image, one image of the first image group or one image of a second image group including images generated for continuous volumes with a second slice thickness belonging to the subject, and in response to a first specific input of an input device, repeatedly updating an image provided as the current viewing image with an individual image provided for a subsequent viewing based on a directivity given for the first specific input and, in response to a second specific input of the input device, switching the current viewing image between an image of the first image group and an image of the second image group.

    METHOD TO READ CHEST IMAGE
    63.
    发明申请

    公开(公告)号:US20220076414A1

    公开(公告)日:2022-03-10

    申请号:US17466697

    申请日:2021-09-03

    Applicant: VUNO Inc.

    Abstract: According to an embodiment of the present disclosure, disclosed is a method to read a chest image. The method includes: determining whether or not to identify presence of cardiomegaly for a chest image; detecting a lung region and a heart region respectively which are included in the chest image, by using a neural network model, when it is determined to identify presence of cardiomegaly of the chest image; and calculating a cardiothoracic ratio of the chest image using the detected lung region and the detected heart region.

    BONE AGE ASSESSMENT METHOD FOR BONE IMAGE

    公开(公告)号:US20210398280A1

    公开(公告)日:2021-12-23

    申请号:US17354861

    申请日:2021-06-22

    Applicant: VUNO Inc.

    Abstract: According to an embodiment of the present disclosure, a computer program stored in a computer readable storage medium is disclosed. The computer program includes instructions for causing one or more processors to estimate bone age from a bone image, and the instructions include: estimating a RUS score for each of one or more partial bone images using a partial bone RUS score estimation model comprising one or more layers, and wherein the one or more partial bone images are generated from a whole bone image; and estimating bone age corresponding to the whole bone image using one or more RUS scores estimated for each of the one or more partial bone images, in which the partial bone RUS score estimation model is trained by using a labeled partial bone image as training data, and is trained by adjusting feature values calculated from the one or more layers.

    PORTABLE ECG MEASURING DEVICE
    65.
    发明申请

    公开(公告)号:US20210369172A1

    公开(公告)日:2021-12-02

    申请号:US17330102

    申请日:2021-05-25

    Applicant: VUNO Inc.

    Abstract: Disclosed is a portable electrocardiogram measuring device for calculating one or more electrocardiogram leads according to an embodiment of the present disclosure. The device may include: a main measurement unit comprising a first electrode, a second electrode, and one or more processors; and a sub measurement unit comprising a third electrode, in which the one or more processors measure an electrocardiogram, by receiving electrical signals from at least two electrodes in a measurable state and by calculating different types of electrocardiogram leads based on the number of electrodes in the measurable state and an attachment position of electrodes.

    Content-based medical image retrieval method and retrieval system

    公开(公告)号:US10748662B2

    公开(公告)日:2020-08-18

    申请号:US15949537

    申请日:2018-04-10

    Applicant: Vuno, Inc.

    Inventor: Kyu Hwan Jung

    Abstract: A content-based medical image retrieval method and a retrieval system using the same include: obtaining m (2≤m≤n) number of unit images from a three-dimensional (3D) medical image including n (n≥2) number of unit images and extracting features per unit image from each of the m (2≤m≤n) number of unit images through a feature extraction unit, wherein the 3D medical image is voxel data including a plurality of slices and each of the plurality of slices is defined as a unit image; inputting features of each unit image extracted from the m (2≤m≤n) number of unit images to a recurrent neural network to generate an output value; and performing medical image retrieval using the output value through an input processing unit, wherein a plurality of 3D medical images to be compared with the output value include a 3D medical image having p (p≥2, p≠n) number of unit images.

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