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:
Aug. 03, 2021

Filed:

Jan. 11, 2019
Applicants:

Electronics and Telecommunications Research Institute, Daejeon, KR;

Konyang University Industry-academic Cooperation Foundation, Nonsan, KR;

Inventors:

Hyeon-Sung Cho, Daejeon, KR;

Jae-Hoon Jeong, Seoul, KR;

Jong-Yeup Kim, Daejeon, KR;

Ji-Sang Park, Daejeon, KR;

Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G06T 7/00 (2017.01); G06T 7/13 (2017.01); G06T 7/70 (2017.01); G06T 7/60 (2017.01); G06K 9/62 (2006.01); A61B 3/14 (2006.01); G06T 7/136 (2017.01); A61B 3/10 (2006.01); G06T 3/60 (2006.01); A61B 3/12 (2006.01);
U.S. Cl.
CPC ...
G06T 7/0012 (2013.01); A61B 3/102 (2013.01); A61B 3/145 (2013.01); G06K 9/6267 (2013.01); G06T 7/13 (2017.01); G06T 7/136 (2017.01); G06T 7/60 (2013.01); G06T 7/70 (2017.01); A61B 3/12 (2013.01); G06K 2209/05 (2013.01); G06T 3/60 (2013.01); G06T 2207/20081 (2013.01); G06T 2207/20084 (2013.01); G06T 2207/30041 (2013.01);
Abstract

Disclosed herein are a glaucoma diagnosis method using a fundus image and an apparatus for the same. The glaucoma diagnosis method includes performing data amplification of generating multiple transformed images for an original fundus image based on a preprocessed image of the original fundus image, allowing multiple individual learning models of different types to be learned based on the multiple transformed images and generating a glaucoma determination model based on respective outputs of the learned multiple individual learning models, and diagnosing a class of glaucoma for the original fundus image based on the glaucoma determination model.


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