Deep learning for predicting uncorrected refractive error using posterior segment optical coherence images
Version 1Background/Aims: The purpose of this study is to evaluate the deep learning model for estimating uncorrected refractive error using posterior segment OCT images. Definition of refractive error Refractive error was measured by expert optometrists during manifest refraction without cycloplegia. The target metric for refractive error is spherical equivalent (SE), which is defined as the spherical power whose focal point coincides. The SE is calculated by adding the sum of the spherical refractive p
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Background/Aims: The purpose of this study is to evaluate the deep learning model for estimating uncorrected refractive error using posterior segment OCT images. Definition of refractive error Refractive error was measured by expert optometrists during manifest refraction without cycloplegia. The target metric for refractive error is spherical equivalent (SE), which is defined as the spherical power whose focal point coincides. The SE is calculated by adding the sum of the spherical refractive p