Patents by Inventor Sei Yeul OH

Sei Yeul OH has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • Eye disease diagnosis method and system using artificial intelligence
    Patent number: 11197608
    Abstract: An eye disease diagnosis method using artificial intelligence may include: collecting, from a database, a first eyeground image of a myopic patient who is not diagnosed with an eye disease and a second eyeground image of a myopic patient who has been diagnosed with the eye disease; learning eyeball change information by degree of myopia based on the first eyeground image, using deep learning; comparing and analyzing the first eyeground image and the second eyeground image based on the eyeball change information by the degree of myopia, and learning eyeball change information by the eye disease using deep learning; and estimating determination criteria of an eyeground image for diagnosis of the eye disease, based on a difference between the eyeball change information by the degree of myopia and the eyeball change information by the eye disease.
    Type: Grant
    Filed: December 11, 2019
    Date of Patent: December 14, 2021
    Assignees: SAMSUNG LIFE PUBLIC WELFARE FOUNDATION, RESEARCH & BUSINESS FOUNDATION SUNGKYUNKWAN UNIVERSITY
    Inventors: Sei Yeul Oh, Kyung Ah Park, Baek Hwan Cho
  • EYE DISEASE DIAGNOSIS METHOD AND SYSTEM USING ARTIFICIAL INTELLIGENCE
    Publication number: 20200187775
    Abstract: An eye disease diagnosis method using artificial intelligence may include: collecting, from a database, a first eyeground image of a myopic patient who is not diagnosed with an eye disease and a second eyeground image of a myopic patient who has been diagnosed with the eye disease; learning eyeball change information by degree of myopia based on the first eyeground image, using deep learning; comparing and analyzing the first eyeground image and the second eyeground image based on the eyeball change information by the degree of myopia, and learning eyeball change information by the eye disease using deep learning; and estimating determination criteria of an eyeground image for diagnosis of the eye disease, based on a difference between the eyeball change information by the degree of myopia and the eyeball change information by the eye disease.
    Type: Application
    Filed: December 11, 2019
    Publication date: June 18, 2020
    Inventors: Sei Yeul OH, Kyung Ah PARK, Baek Hwan CHO