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：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.