Title:
METHOD AND APPARATUS FOR DETERMINING RETINAL NERVE FIBER LAYER THICKNESS FROM COLOR FUNDUS IMAGE FOR GLAUCOMA TEST ON BASIS OF DEEP LEARNING
Document Type and Number:
WIPO Patent Application WO/2023/027494
Kind Code:
A1
Abstract:
The present invention relates to a method and an apparatus for determining a retinal nerve fiber layer thickness from a color fundus image for a glaucoma test on the basis of deep learning. The method for determining a retinal nerve fiber layer thickness from a color fundus image for a glaucoma test on the basis of deep learning, according to one embodiment of the present invention, may comprise the steps of: (a) acquiring a color fundus image for a user; (b) segmenting the color fundus image into a plurality of sub-regions; and (c) calculating a retinal nerve fiber layer thickness corresponding to each of the plurality of sub-regions by applying each of the segmented plurality of sub-regions to a thickness estimation deep learning model.
More Like This:
Inventors:
JUNG WOONG GYU (KR)
YANG HYUN MO (KR)
AHN YU JIN (KR)
YANG HYUN MO (KR)
AHN YU JIN (KR)
Application Number:
PCT/KR2022/012623
Publication Date:
March 02, 2023
Filing Date:
August 24, 2022
Export Citation:
Assignee:
ULSAN NAT INST SCIENCE & TECH UNIST (KR)
International Classes:
A61B3/10; A61B3/00; A61B3/12; G16H30/40; G16H50/20; G16H50/50; G16H50/70
Foreign References:
| KR102198395B1 | 2021-01-06 | |||
| KR20200114837A | 2020-10-07 | |||
| US20190110681A1 | 2019-04-18 |
Other References:
CHRISTOPHER MARK; BOWD CHRISTOPHER; BELGHITH AKRAM; GOLDBAUM MICHAEL H.; WEINREB ROBERT N.; FAZIO MASSIMO A.; GIRKIN CHRISTOPHER A: "Deep Learning Approaches Predict Glaucomatous Visual Field Damage from OCT Optic Nerve Head En Face Images and Retinal Nerve Fiber Layer Thickness Maps", OPHTHALMOLOGY, ELSEVIER, AMSTERDAM, NL, vol. 127, no. 3, 30 September 2019 (2019-09-30), AMSTERDAM, NL, pages 346 - 356, XP086060989, ISSN: 0161-6420, DOI: 10.1016/j.ophtha.2019.09.036
MA RUI, LIU YUAN, TAO YUDONG, ALAWA KARAM A., SHYU MEI-LING, LEE RICHARD K.: "Deep Learning–Based Retinal Nerve Fiber Layer Thickness Measurement of Murine Eyes", TRANSLATIONAL VISION SCIENCE & TECHNOLOGY, ASSOCIATION FOR RESEARCH IN VISION AND OPHTHALMOLOGY, US, vol. 10, no. 8, 23 July 2021 (2021-07-23), US , pages 21, XP093039252, ISSN: 2164-2591, DOI: 10.1167/tvst.10.8.21
MA RUI, LIU YUAN, TAO YUDONG, ALAWA KARAM A., SHYU MEI-LING, LEE RICHARD K.: "Deep Learning–Based Retinal Nerve Fiber Layer Thickness Measurement of Murine Eyes", TRANSLATIONAL VISION SCIENCE & TECHNOLOGY, ASSOCIATION FOR RESEARCH IN VISION AND OPHTHALMOLOGY, US, vol. 10, no. 8, 23 July 2021 (2021-07-23), US , pages 21, XP093039252, ISSN: 2164-2591, DOI: 10.1167/tvst.10.8.21
Attorney, Agent or Firm:
G1 IP LAW FIRM (KR)
Download PDF:
Previous Patent: FOOD WASTE PROCESSING DEVICE
Next Patent: CONTENT-ADDRESSABLE MEMORY DEVICE AND OPERATING METHOD THEREFOR
Next Patent: CONTENT-ADDRESSABLE MEMORY DEVICE AND OPERATING METHOD THEREFOR