Background Meibography is a non-contact imaging technique used by ophthalmologists and
eye care practitioners to acquire information on the characteristics of meibomian glands …

Computational methods are presented that can automatically detect the length and width of
meibomian glands imaged by infrared meibography without requiring any input from the …

Background Infrared (IR) meibography is an imaging technique to capture the Meibomian
glands in the eyelids. These ocular surface structures are responsible for producing the lipid …

PURPOSE Meibomian gland morphological abnormality is a common clinical sign of
meibomian gland dysfunction, yet there exist no automated methods that provide standard …

Background To explore the performance of quantitative morphological and functional
analysis in meibography images by an automatic meibomian glands (MGs) analyser in …

In recent years, significant progress has been made in the Meibography technique resulting
from the use of advanced image analysis methods allowing a quantitative description of the …

Purpose: The purpose of this study was to develop an unsupervised feature learning
approach that automatically measures Meibomian gland (MG) atrophy severity from …

Introduction Meibomian gland dysfunction is a common cause of dry eye syndrome which
can also lead to eyelid inflammation. Today, diagnostics of meibomian glands is not fully …

Purpose: We present and validate a new methodology for analyzing, in an automated and
objective fashion, infrared images of the meibomian glands (MG). Methods: The developed …

Purpose: To develop a deep learning approach to digitally segmenting meibomian gland
atrophy area and computing percent atrophy in meibography images. Methods: A total of …