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.

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：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：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：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：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.