Automatic identification of myopia based on ocular appearance images using deep learning.

ABSTRACT:

Background

Myopia is the leading cause of visual impairment and affects millions of children worldwide. Timely and annual manual optometric screenings of the entire at-risk population improve outcomes, but screening is challenging due to the lack of availability and training of assessors and the economic burden imposed by the screenings. Recently, deep learning and computer vision have shown powerful potential for disease screening. However, these techniques have not been applied to large-scale myopia screening using ocular appearance images.

Methods

We trained a deep learning system (DLS) for myopia detection using 2,350 ocular appearance images (processed by 7,050 pictures) from children aged 6 to 18. Myopia is defined as a spherical equivalent refraction (SER) [the algebr

SUBMITTER: Yang Y 

PROVIDER: S-EPMC7327333 | biostudies-literature | 2020 Jun

REPOSITORIES: biostudies-literature