公开(公告)号：US20210219839A1

公开(公告)日：2021-07-22

申请号：US17059868

申请日：2019-04-10

Applicant: VUNO, INC.

Inventor： Sang Keun KIM ,  Hyun-Jun KIM ,  Kyuhwan JUNG ,  Jae Min SON

IPC: A61B3/14 ,  G06T7/187 ,  G16H30/20 ,  G06T7/00

Abstract: The present invention relates to a method for classifying a fundus image and a device using same. Specifically, according to the method of the present invention, a computing device acquires a fundus image of a subject, generates classification information of the fundus image, generates an interpretation text on the basis of the classification information, and provides the interpretation text to an external entity.

公开(公告)号：US20210082567A1

公开(公告)日：2021-03-18

申请号：US16963700

申请日：2018-12-07

Applicant: VUNO, INC.

Inventor： Seungho LEE

IPC: G16H30/40 ,  G06F3/0485 ,  G06T7/00 ,  G16H50/20

Abstract: The present invention relates to a method for supporting viewing of images and an apparatus using same. In particular, according to the method of the present invention, the computing device enables sequential viewing of a series of individual images, in response to a specific input of an input device, wherein a switching speed from a first individual image, which is an individual image provided in a current viewing, to a second individual image, which is an individual image provided in the next viewing, is variably increased or decreased according to importance given to at least one of the first individual image and the second individual image.

公开(公告)号：US12283041B2

公开(公告)日：2025-04-22

申请号：US17501491

申请日：2021-10-14

Applicant: VUNO Inc.

Inventor： Hyunho Park ,  Gwangbeen Park ,  Seungho Lee

IPC: G06T7/00 ,  G06F3/0482 ,  G06T7/11 ,  G06T7/62 ,  G06V20/40 ,  G16H15/00 ,  G16H30/40 ,  G16H50/20 ,  G16H50/70

Abstract: An embodiment of the present disclosure provides a method of providing a User Interface for serial images analysis in a user equipment, the method including: displaying a first cross-sectional image, a second cross-sectional image, and a third cross-sectional image on a first area of the user interface, which are related to a first image; displaying candidate nodule information related to the first image on at least one of the first cross-sectional image, the second cross-sectional image, and the third cross-sectional image; determining the candidate nodule information related to a user input as first nodule information related to the first image, based on the user input on the user interface; and displaying the first nodule information in such a way that the candidate nodule information related to the user input is replaced with the first nodule information, in which the candidate nodule information may be generated based on a first nodule dataset obtained by inputting the first image to a deep learning algorithm in a server.

公开(公告)号：US20250046467A1

公开(公告)日：2025-02-06

申请号：US18837151

申请日：2023-01-09

Applicant: VUNO Inc.

Inventor： Kyung Geun KIM ,  Sunghoon JOO

IPC: G16H50/30 ,  A61B5/339 ,  A61B5/346 ,  G16H40/63

Abstract: According to an embodiment of the present disclosure, a method for processing medical data and a computing device using the same. Specifically, according to the present disclosure, a computing device receives one or more electrocardiogram (ECG) data, generates ECG delineation information corresponding to a plurality of samples generated from the one or more received ECG data through the ECG delineation model, and integrates the plurality of ECG delineation information.

公开(公告)号：US12125197B2

公开(公告)日：2024-10-22

申请号：US17466697

申请日：2021-09-03

Applicant: VUNO Inc.

Inventor： Beomhee Park ,  Minki Chung ,  Seo Taek Kong ,  Younjoon Chung

IPC: G06T7/00

CPC classification number: G06T7/0012 ,  G06T2207/20081 ,  G06T2207/20084 ,  G06T2207/30048 ,  G06T2207/30061

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.

公开(公告)号：US12094147B2

公开(公告)日：2024-09-17

申请号：US17509590

申请日：2021-10-25

Applicant: VUNO Inc.

Inventor： Eunpyeong Hong ,  Wonmo Jung ,  Sejin Park ,  Hyunwoo Oh ,  Dong Soo Lee ,  Weon Jin Kim ,  Jinkyeong Sung

IPC: G06T7/62 ,  G06T7/00 ,  G06T17/20

CPC classification number: G06T7/62 ,  G06T7/0012 ,  G06T17/20 ,  G06T2207/10081 ,  G06T2207/10088 ,  G06T2207/20081 ,  G06T2207/20084

Abstract: Disclosed is a method for analyzing a thickness of a cortical region, performed by a computing device. The method may include: extracting a plurality of interfaces included in a cortical region based on a mask generated from a medical image including at least one brain region; and estimating a thickness of the cortical region based on the plurality of interfaces.

公开(公告)号：US12008748B2

公开(公告)日：2024-06-11

申请号：US17059868

申请日：2019-04-10

Applicant: VUNO, INC.

Inventor： Sang Keun Kim ,  Hyun-Jun Kim ,  Kyuhwan Jung ,  Jae Min Son

IPC: G06T7/00 ,  G06T7/187 ,  G16H30/20

CPC classification number: G06T7/0012 ,  G06T7/187 ,  G16H30/20 ,  G06T2207/30041

Abstract: The present invention relates to a method for classifying a fundus image and a device using same. Specifically, according to the method of the present invention, a computing device acquires a fundus image of a subject, generates classification information of the fundus image, generates an interpretation text on the basis of the classification information, and provides the interpretation text to an external entity.

公开(公告)号：US20240062515A1

公开(公告)日：2024-02-22

申请号：US18260461

申请日：2021-11-09

Applicant: VUNO Inc.

Inventor： Hyunwoo OH ,  Sejin PARK ,  Eunpyeong HONG ,  Dongsoo LEE

IPC: G06V10/764 ,  G06N3/042 ,  G06N3/045 ,  G06T7/00 ,  G06V10/40 ,  G06V10/766 ,  G06V10/776 ,  G06V10/82

CPC classification number: G06V10/764 ,  G06N3/042 ,  G06N3/045 ,  G06T7/0012 ,  G06V10/40 ,  G06V10/766 ,  G06V10/776 ,  G06V10/82 ,  G06T2207/20081 ,  G06T2207/20084 ,  G06T2207/30016 ,  G06V2201/031

Abstract: According to an exemplary embodiment of the present disclosure, a method for classification by using a deep learning model, the method being performed by a computing device, is disclosed. The method may include: extracting a feature vector interpretable based on domain knowledge by inputting an image including at least one object of interest into a first neural network of a deep learning model; and estimating a probability value corresponding to a classification task by inputting the feature vector into a second neural network of the deep learning model. In this case, the deep learning model may be pre-trained based on a loss function having an output value of the first neural network and an output value of the second neural network as input variables.

公开(公告)号：US20240024074A1

公开(公告)日：2024-01-25

申请号：US18024274

申请日：2021-08-26

Applicant: VUNO INC.

Inventor： Sunho KIM ,  Jaeyoung KIM ,  Hongseok LEE

IPC: A61C7/00 ,  A61B34/10

CPC classification number: A61C7/002 ,  A61B34/10 ,  A61B2034/104 ,  A61B2034/105 ,  A61B2034/107

Abstract: Disclosed are a method and an apparatus for converting a part of a dental image. The method for converting a part of a dental image may comprise the steps of: receiving a dental image; receiving a user input corresponding to a conversion region of the dental image and a target type; and generating an output dental image in which the conversion region has been converted into the target type by using a pre-trained generation model.

公开(公告)号：US20230352164A1

公开(公告)日：2023-11-02

申请号：US18218016

申请日：2023-07-04

Applicant: VUNO, INC. ,  HYEWON MEDICAL FOUNDATION

Inventor： Yeongnam LEE ,  Yeha LEE ,  Joonmyoung KWON

IPC: G16H40/63 ,  G16H50/30 ,  G06N20/20 ,  G06N20/10 ,  G06N3/084 ,  G06F18/21 ,  G06F18/241

CPC classification number: G16H40/63 ,  G16H50/30 ,  G06N20/20 ,  G06N20/10 ,  G06N3/084 ,  G06F18/217 ,  G06F18/241

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.