A Fully Automatic Estimation of Tear Meniscus Height Using Artificial Intelligence.

ABSTRACT:

Purpose

Accurate quantification measurement of tear meniscus is vital for the precise diagnosis of dry eye. In current clinical practice, the measurement of tear meniscus height (TMH) relies on doctors' manual operation. This study aims to propose a novel automatic artificial intelligence (AI) system to evaluate TMH.

Methods

A total of 510 photographs obtained by the oculus camera were labeled. Three thousand and five hundred images were finally attained by data enhancement to train the neural network model parameters, and 60 were used to evaluate the model performance in segmenting the cornea and tear meniscus region. One hundred images were used to test generalization ability of the model. We modified a segmentation model of the cornea and the tear meniscus based on the UN

SUBMITTER: Wang S 

PROVIDER: S-EPMC10565704 | biostudies-literature | 2023 Oct

REPOSITORIES: biostudies-literature