Deep learning for predicting uncorrected refractive error using posterior segment optical coherence tomography images.

Journal: Eye (London, England)
PMID:

Abstract

BACKGROUND/OBJECTIVES: This study aimed to evaluate a deep learning model for estimating uncorrected refractive error using posterior segment optical coherence tomography (OCT) images.

Authors

  • Tae Keun Yoo
  • Ik Hee Ryu
    B&VIIt Eye Center, Seoul, South Korea.
  • Jin Kuk Kim
    B&VIIt Eye Center, Seoul, South Korea.
  • In Sik Lee
    B&VIIt Eye Center, Seoul, South Korea.