公开(公告)号：US12236585B2

公开(公告)日：2025-02-25

申请号：US17582717

申请日：2022-01-24

Applicant: VUNO Inc.

Inventor： Yeong Won Kim ,  Kyungdoc Kim ,  Hong Seok Lee ,  Hyeongsub Kim

IPC: G06T7/00 ,  G06V10/40 ,  G06V10/774 ,  G06V10/776 ,  G06V10/82 ,  G16H30/40 ,  G16H50/20 ,  A61B6/00

Abstract: According to the embodiment of the present disclosure, a method of analyzing a lesion based on a medical image performed by a computing device is disclosed. The method may include: extracting, by using a pre-trained artificial neural network, a first feature for each tile of a plurality of tiles included in an input image; and extracting, by using the pre-trained artificial neural network, a second feature for an entirety of the input image, based on information about whether the lesion is present for the each tile and information on a pattern of the lesion for the each tile generated based on first features of the plurality of tiles.

公开(公告)号：USD1063075S1

公开(公告)日：2025-02-18

申请号：US35512176

申请日：2021-04-23

Applicant: VUNO Inc.

Designer： Eun Bi Koh ,  Woong Bae ,  Suk In Eo ,  Oyeon Kwon

公开(公告)号：US20250014183A1

公开(公告)日：2025-01-09

申请号：US18896442

申请日：2024-09-25

Applicant: VUNO Inc.

Inventor： Beomhee PARK ,  Minki CHUNG ,  Seo Taek KONG ,  Younjoon CHUNG

IPC: G06T7/00

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：USD1024114S1

公开(公告)日：2024-04-23

申请号：US35516792

申请日：2022-04-05

Applicant: VUNO Inc.

Designer： Min Eok Chang ,  Ye Ha Lee ,  Eun Bi Koh

Abstract: 1. Display panel with graphical user interface
1.0 : Front
The outermost broken line illustrates a display panel and forms no part of the claimed design. The dot-dash broken lines in the reproduction represent boundaries of the claimed design and form no part thereof. All other broken lines in the reproduction depict portions of the graphical user interface that form no part of the claimed design.

公开(公告)号：US20220237777A1

公开(公告)日：2022-07-28

申请号：US17582717

申请日：2022-01-24

Applicant: VUNO Inc.

Inventor： Yeong Won KIM ,  Kyungdoc KIM ,  Hong Seok LEE ,  Hyeongsub KIM

IPC: G06T7/00 ,  G06V10/82 ,  G06V10/774 ,  G06V10/776 ,  G06V10/40 ,  G16H30/40 ,  G16H50/20

Abstract: According to the embodiment of the present disclosure, a method of analyzing a lesion based on a medical image performed by a computing device is disclosed. The method may include: extracting, by using a pre-trained artificial neural network, a first feature for each tile of a plurality of tiles included in an input image; and extracting, by using the pre-trained artificial neural network, a second feature for an entirety of the input image, based on information about whether the lesion is present for the each tile and information on a pattern of the lesion for the each tile generated based on first features of the plurality of tiles.

公开(公告)号：US20220180194A1

公开(公告)日：2022-06-09

申请号：US17598289

申请日：2019-12-06

Applicant: VUNO INC.

Inventor： Woong BAE ,  Byeong-uk BAE ,  Minki CHUNG ,  Beomhee PARK

IPC: G06N3/08 ,  G06K9/62

Abstract: The present disclosure relates to a method for improving reproduction performance of a deep neural network model trained using a group of learning data so that the deep neural network model can exhibit excellent reproduction performance even for target data having a quality pattern different from that of the group, and a device using same. According to the method of the present disclosure, a computing device acquires the target data, retrieves at least one piece of candidate data having a highest similarity to the target data from a learning data representative group including reference data selected from the learning data, performs adaptive pattern transformation on the target data to enable adaptation to the candidate data, and supports transfer of transformed data, which is a result of the adaptive pattern transformation, to the deep neural network model so as to acquire an output value from the deep neural network model.

公开(公告)号：US20220122249A1

公开(公告)日：2022-04-21

申请号：US17501491

申请日：2021-10-14

Applicant: VUNO Inc.

Inventor： Hyunho PARK ,  Gwangbeen PARK ,  Seungho Lee

IPC: G06T7/00 ,  G06K9/00 ,  G06F3/0482 ,  G06T7/11 ,  G06T7/62 ,  G16H30/40 ,  G16H50/20 ,  G16H15/00

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：US20220084200A1

公开(公告)日：2022-03-17

申请号：US17471001

申请日：2021-09-09

Applicant: VUNO Inc.

Inventor： Minki CHUNG ,  Beomhee PARK ,  Seo Taek KONG ,  Younjoon CHUNG

IPC: G06T7/00 ,  G16H30/40 ,  G16H50/30 ,  G16H50/20

Abstract: According to an embodiment of the present disclosure, an image analysis method is disclosed. The image analysis method may include: receiving a body medical image; detecting one or more lesions from the received body medical image using a lesion detection model; generating anatomical location information for the one or more lesions using an anatomical analysis model, based on the received body medical image and the detection result for the one or more lesions; and generating a diagnosis result for the received body medical image, based on the anatomical location information for the one or more lesions.

公开(公告)号：US20220076835A1

公开(公告)日：2022-03-10

申请号：US17466736

申请日：2021-09-03

Applicant: VUNO Inc.

Inventor： Byeong Tak LEE ,  Woong BAE ,  Oyeon KWON

IPC: G16H50/20 ,  G06N3/08 ,  G06K9/62

Abstract: According to an embodiment of the present disclosure, disclosed is a computer program stored in a computer readable storage medium, in which when the computer program is executed on at least one processor, the computer program causes the processor to perform the following operations for judging a disease using a neural network, the operations including: acquiring one or more bio signals respectively measured in one or more leads; and generating result information about a disease by inputting the one or more bio signals into a disease judgment model.

公开(公告)号：US20210407637A1

公开(公告)日：2021-12-30

申请号：US17356111

申请日：2021-06-23

Applicant: VUNO Inc.

Inventor： Beomhee PARK ,  Woong BAE ,  Minki CHUNG

IPC: G16H15/00 ,  G06T7/00 ,  G16H50/20 ,  G16H70/60 ,  G16H30/40 ,  G16H50/70 ,  G16H10/60

Abstract: Disclosed is a computer program stored in a computer readable storage medium. When the computer program is executed by one or more processors, the computer program provides a user interface for displaying a lesion readings result, and the user interface may include: lesion information comprised in medical data; and one or more findings related to the lesion information and displayed in response to a user interaction with the lesion information.