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：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.