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Eye disease diagnosis method and system using artificial intelligence

机译:眼病诊断方法与系统使用人工智能

摘要

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.
机译:使用人工智能的眼部疾病诊断方法可以包括:从数据库中收集近视患者的第一眼睛图像,该近视患者未被诊断出患有眼部疾病和被诊断患有眼病的近视患者的近视患者的第二眼睛形象 ; 使用深度学习,学习眼球按基于第一眼图像的近视程度的信息; 基于眼球改变信息的第一眼睛图像和第二眼睛形象比较和分析了近视度的信息,深入学习眼病学习眼球改变信息; 基于眼球变化信息的近视与眼部疾病的眼球改变信息的差异,估算眼睛疾病的视力图像的确定标准。

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