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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.

Patent No.:

US 11790645 B1

PDFFull Text
Date of Patent:
Oct. 17, 2023

Filed:

Feb. 02, 2022

Diagnosis assistance system and control method thereof

Applicant:

Medi Whale Inc., Seoul, KR;

Inventors:

Hyung Taek Rim, Seoul, KR;

Seong Jung Kim, Seoul, KR;

Tae Geun Choi, Seoul, KR;

Assignee:

MEDI WHALE INC., Seoul, KR;

Attorney:

WTA Patents

Primary Examiner:

Andrae S Allison

Int. Cl.
CPC ...
G06V 10/82 (2022.01); G16H 50/20 (2018.01); G06T 7/00 (2017.01); A61B 5/00 (2006.01); A61B 3/117 (2006.01); A61B 3/12 (2006.01); G06T 11/00 (2006.01); A61B 3/00 (2006.01); G06V 20/69 (2022.01); G06F 18/25 (2023.01); G06F 18/214 (2023.01); G06F 18/21 (2023.01); G06F 18/241 (2023.01); G06V 10/80 (2022.01);
U.S. Cl.
CPC ...
G06V 10/82 (2022.01); A61B 3/00 (2013.01); A61B 3/1176 (2013.01); A61B 3/12 (2013.01); A61B 5/7267 (2013.01); G06F 18/214 (2023.01); G06F 18/217 (2023.01); G06F 18/241 (2023.01); G06F 18/25 (2023.01); G06T 7/00 (2013.01); G06T 7/0014 (2013.01); G06T 11/00 (2013.01); G06V 10/80 (2022.01); G06V 20/698 (2022.01); G16H 50/20 (2018.01); G06T 2207/20081 (2013.01); G06T 2207/20084 (2013.01); G06T 2207/30041 (2013.01); G06T 2207/30101 (2013.01);
Abstract

The present invention relates to a diagnosis assistance system for assisting diagnosis for a plurality of diseases based on a fundus image, the diagnosis assistance system including: a fundus image obtaining unit configured to obtain a fundus image; a first processing unit configured to, for the fundus image, obtain a first result related to a first finding of a patient using a first neural network model, a second processing unit configured to, for the fundus image, obtain a second result related to a second finding of the patient using a second neural network model, a third processing unit configured to determine, on the basis of the first result and the second result, diagnostic information on the patient, and a diagnostic information output unit configured to provide the determined diagnostic information to a user.

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