The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Mar. 19, 2024

Filed:

Jan. 05, 2022
Applicant:

Industry Academic Cooperation Foundation, Hallym University, Chuncheon-si, KR;

Inventors:

Chang Seok Bang, Chuncheon-si, KR;

Jae Jun Lee, Chuncheon-si, KR;

Bum Joo Cho, Seoul, KR;

Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G06T 7/00 (2017.01); A61B 1/00 (2006.01); G06V 10/82 (2022.01); G06V 10/94 (2022.01); G06V 20/40 (2022.01); G06V 20/50 (2022.01);
U.S. Cl.
CPC ...
G06T 7/0012 (2013.01); A61B 1/000094 (2022.02); A61B 1/00016 (2013.01); A61B 1/0004 (2022.02); G06V 10/82 (2022.01); G06V 10/945 (2022.01); G06V 10/95 (2022.01); G06V 20/41 (2022.01); G06V 20/49 (2022.01); G06V 20/50 (2022.01); G06T 2200/24 (2013.01); G06T 2207/10016 (2013.01); G06T 2207/10068 (2013.01); G06T 2207/20081 (2013.01); G06T 2207/20084 (2013.01); G06T 2207/30092 (2013.01); G06T 2207/30096 (2013.01); G06T 2207/30104 (2013.01);
Abstract

Provided is a control method for a system for determining a lesion obtained via real-time image. The control method comprises: an endoscope device obtaining a stomach endoscopy image; the endoscope device transmitting the obtained stomach endoscopy image to a server; the server determining a lesion included in the stomach endoscopy image, by inputting the stomach endoscopy image into a first artificial intelligence model; when it is determined that a lesion is detected in the stomach endoscopy image, the server obtaining an image including the lesion and transmitting the image to a database of the server; the server determining the type of the lesion included in the image, by inputting the image into a second artificial intelligence model; and when it is determined that a lesion is detected in the stomach endoscopy image, a display device displaying a UI for guiding the location of the lesion in the stomach endoscopy image.


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