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AI Biotech/Diagnostics: Cardio
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Application US20200187775
Published 2020-06-18
Eye Disease Diagnosis Method And System Using Artificial Intelligence
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.
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- 1. An eye disease diagnosis method using artificial intelligence, the eye disease diagnosis method comprising:
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.
- 5. An eye disease diagnosis system using artificial intelligence, the eye disease diagnosis system comprising:
a data collection unit configured to collect, 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; a first deep learning unit configured to learn eyeball change information by degree of myopia based on the first eyeground image, using deep learning; a second deep learning unit configured to compare and analyze the first eyeground image and the second eyeground image based on the eyeball change information by the degree of myopia, and learn eyeball change information by the eye disease using deep learning; and a determination criteria estimation unit configured to estimate 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.
