Title:
DEEP LEARNING MODEL TRAINING METHOD, METHOD FOR DIAGNOSING OPHTHALMOLOGIC DISEASE BY USING DEEP LEARNING MODEL, AND COMPUTER-READABLE RECORDING MEDIUM HAVING RECORDED THEREON PROGRAM FOR PERFORMING SAME
Document Type and Number:
WIPO Patent Application WO/2023/244008
Kind Code:
A1
Abstract:
A deep learning model training method, a method for diagnosing an ophthalmologic disease by using a deep learning model, and a computer-readable recording medium having recorded thereon a program for performing same comprise: a deep learning model training step in which at least one processor trains a deep learning model by using a plurality of data sets for a plurality of optical coherence tomography (OCT) images acquired through OCT performed on an eyeball; an image acquisition step in which the at least one processor acquires a plurality of OCT images of a testee; and an ophthalmologic disease diagnosing step in which the at least one processor outputs a probability of an ophthalmologic disease or a probability of being normal as a diagnosis result by inputting the plurality of OCT images of the testee to the deep learning model.
Inventors:
KIM TAE GYU (KR)
CHOI HYUN JU (KR)
CHOI WOO SIK (KR)
LEE SEUNG HWAN (KR)
KIM JIN HYUN (KR)
HAN YONG SEOP (KR)
KANG TAE SEEN (KR)
LEE WOONG SUP (KR)
KIM JI YEON (KR)
LEE YEONG SEOP (KR)
LEE SEONG JIN (KR)
KIM KYUNG HOON (KR)
CHOI HYUN JU (KR)
CHOI WOO SIK (KR)
LEE SEUNG HWAN (KR)
KIM JIN HYUN (KR)
HAN YONG SEOP (KR)
KANG TAE SEEN (KR)
LEE WOONG SUP (KR)
KIM JI YEON (KR)
LEE YEONG SEOP (KR)
LEE SEONG JIN (KR)
KIM KYUNG HOON (KR)
Application Number:
PCT/KR2023/008178
Publication Date:
December 21, 2023
Filing Date:
June 14, 2023
Export Citation:
Assignee:
NAT UNIV GYEONGSANG IACF (KR)
KYUNGPOOK NAT UNIV IND ACADEMIC COOP FOUND (KR)
KYUNGPOOK NAT UNIV IND ACADEMIC COOP FOUND (KR)
International Classes:
G16H50/20; A61B3/14; G06N3/08; G16H30/40; G16H50/70
Foreign References:
| KR20210026597A | 2021-03-10 | |||
| JP2018171177A | 2018-11-08 | |||
| KR101977645B1 | 2019-06-12 | |||
| JP2021164535A | 2021-10-14 |
Other References:
JIYEON KIM, YONGSEOP HAN, WOONGSUP LEE, TAESEEN KANG, SEONGJIN LEE, KYONG HOON KIM, YEONGSEOP LEE, JIN HYUN KIM: "Automated one-hot eye diseases diagnostic framework using deep-learning techniques", TRANSACTIONS OF THE KOREAN INSTITUTE OF ELECTRICAL ENGINEERS, KOREA, vol. 70, no. 7, 1 July 2021 (2021-07-01), KOREA , pages 1036 - 1043, XP009551579, ISSN: 1975-8359, DOI: 10.5370/KIEE.2021.70.7.1036
Attorney, Agent or Firm:
KIM, Jong Seok (KR)
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