公开(公告)号：US11980471B2

公开(公告)日：2024-05-14

申请号：US17330102

申请日：2021-05-25

Applicant: VUNO Inc.

Inventor： Oyeon Kwon ,  Woong Bae ,  Yeha Lee

IPC: A61B5/332 ,  A61B5/00 ,  A61B5/28

CPC classification number: A61B5/332 ,  A61B5/0006 ,  A61B5/28 ,  A61B5/7221

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.

公开(公告)号：US20240115184A1

公开(公告)日：2024-04-11

申请号：US18263102

申请日：2022-01-27

Applicant: VUNO Inc.

Inventor： Youngjae SONG ,  Woong BAE

IPC: A61B5/327 ,  A61B5/00 ,  A61B5/364 ,  G06N20/00 ,  G16H50/30

CPC classification number: A61B5/327 ,  A61B5/364 ,  A61B5/7239 ,  A61B5/7275 ,  G06N20/00 ,  G16H50/30

Abstract: According to an embodiment of the present disclosure, disclosed is a method for predicting a chronic disease based on an ECG signal performed by a computing device. The method may include generating lead-specific integrated data based on the ECG signal. The method may include generating N-dimensional input data based on the lead-specific integrated data. The method may include predicting the chronic disease based on the N-dimensional input data. The method may include generating prediction information on the chronic disease to be provided to a user.

公开(公告)号：US20240029887A1

公开(公告)日：2024-01-25

申请号：US18265601

申请日：2021-08-25

Applicant: Vuno Inc.

Inventor： Beomhee Park ,  Kyuhwan Jung ,  Seyun Kim

IPC: G16H50/20 ,  A61B6/00 ,  G16H30/40 ,  G16H50/30 ,  A61B5/08

CPC classification number: G16H50/20 ,  A61B6/5217 ,  G16H30/40 ,  G16H50/30 ,  A61B5/08

Abstract: A lesion diagnosing method includes inputting medical data into first and second neural network models to detect an object region for lesion diagnosis from the medical data, and detect at least one finding region related to a specific lesion; calculating a volume and location for at least one finding region included in the object region; and generating result information for the medical data based on a volume and a location for the finding region.

公开(公告)号：US11816833B2

公开(公告)日：2023-11-14

申请号：US16963408

申请日：2019-01-18

Applicant: VUNO, INC.

Inventor： Kyuhwan Jung

IPC: G06T7/00 ,  G06T3/40

CPC classification number: G06T7/0012 ,  G06T3/4053 ,  G06T2207/10081 ,  G06T2207/20081 ,  G06T2207/20084 ,  G06T2207/20108 ,  G06T2207/30096

Abstract: The present invention relates to a method for reconstructing an image and an apparatus using the same Particularly, according to the method of the present invention, when a series of first slice images of a subject are inputted in a computing device, the computing device generates, from the first slice images, second slice images having a second slice thickness different from a first thickness, which is the slice thickness of the first slice image, and provides the generated second slice images.

公开(公告)号：US20230351594A1

公开(公告)日：2023-11-02

申请号：US18349171

申请日：2023-07-10

Applicant: VUNO, INC.

Inventor： Gwangbeen PARK

IPC: G06T7/00 ,  G16H30/20 ,  G16H50/30

CPC classification number: G06T7/0012 ,  G16H30/20 ,  G16H50/30 ,  G06T2207/20084 ,  G06T2207/20101 ,  G06T2207/30096

Abstract: The present disclosure relates to a method of aiding visualization of lesions in a medical image and an apparatus using the same. In detail, according to the method of the present disclosure, a lesion visualization aiding method may receive a user input for selecting a single point in the medical image to modify a lesion mask representing a lesion area in the medical image, may determine a modified lesion mask corresponding to the received user input among a plurality of pre-generated plurality of candidate lesion masks, and may provide the modified lesion mask with the medical image.

公开(公告)号：US11741598B2

公开(公告)日：2023-08-29

申请号：US15931943

申请日：2020-05-14

Applicant: VUNO, INC.

Inventor： Gwangbeen Park

IPC: G06T7/00 ,  G16H30/20 ,  G16H50/30

CPC classification number: G06T7/0012 ,  G16H30/20 ,  G16H50/30 ,  G06T2207/20084 ,  G06T2207/20101 ,  G06T2207/30096

Abstract: A computing apparatus for aiding visualization of lesions in a medical image includes a communicator and a processor. The processor is configured to receive a user input for selecting a single point in the medical image to modify a lesion mask representing a lesion area in them medical image, determine a modified lesion mask corresponding to the received user input among a plurality of pre-generated plurality of candidate lesion masks, and provide the modified lesion mask with the medical image.

公开(公告)号：US20210374948A1

公开(公告)日：2021-12-02

申请号：US16963408

申请日：2019-01-18

Applicant: VUNO, INC.

Inventor： Kyuhwan JUNG

IPC: G06T7/00 ,  G06T3/40

Abstract: The present invention relates to a method for reconstructing an image and an apparatus using the same Particularly, according to the method of the present invention, when a series of first slice images of a subject are inputted in a computing device, the computing device generates, from the first slice images, second slice images having a second slice thickness different from a first thickness, which is the slice thickness of the first slice image, and provides the generated second slice images.

公开(公告)号：US20210048941A1

公开(公告)日：2021-02-18

申请号：US16991713

申请日：2020-08-12

Applicant: VUNO, INC.

Inventor： Woong BAE ,  Seung Ho LEE

IPC: G06F3/0484 ,  G06T3/40 ,  G06F3/0489

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.

公开(公告)号：US20200288972A1

公开(公告)日：2020-09-17

申请号：US16759594

申请日：2018-07-18

Applicant: VUNO, INC. ,  SEOUL NATIONAL UNIVERSITY HOSPITAL

Inventor： Sang Jun PARK ,  Joo Young SHIN ,  Jae Min SON ,  Sang Keun KIM ,  Kyuhwan JUNG ,  Hyun-Jun KIM

IPC: A61B3/12 ,  A61B3/14 ,  G06K9/46 ,  G06T7/11 ,  G06T7/70 ,  G06T7/00 ,  G16H50/20 ,  G16H50/50 ,  G16H30/40

Abstract: The present invention relates to a method for supporting reading of a fundus image of a subject, and a computing device using the same. Specifically, the computing device according to the present invention acquires the fundus image of the subject, extracts attribute information from the fundus image on the basis of a machine learning model for extracting the attribute information of the fundus image, and provides the extracted attribute information to an external entity. In addition, when evaluation information on the extracted attribute information or modification information on the attribute information is acquired, the computing device according to the present invention can also update the machine learning model on the basis of the acquired evaluation information or modification information.

公开(公告)号：US20200176117A1

公开(公告)日：2020-06-04

申请号：US16638250

申请日：2018-08-07

Applicant: VUNO, INC. ,  HYEWON MEDICAL FOUNDATION

Inventor： Yeongnam LEE ,  Yeha LEE ,  Joonmyoung KWON

IPC: G16H50/30 ,  G06N20/20 ,  G06K9/62 ,  G06N3/08 ,  G06N20/10

Abstract: The present invention relates to a method for generating a prediction. result for predicting an occurrence of fatal symptoms of a subject in advance, a method for performing data classification by using data augmentation in mechanical learning for the same, and a computing device using the same. Particularly, the computing device according to the present invention acquires vital signs of the subject, converts the same into individuated data, generates analysis information from the individuated data on the basis of a machine learning model, generates a prediction result by referring to the analysis information, and provides the prediction result to an external entity.