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

Meibomian gland dysfunction (MGD) is the leading cause of dry eye and proposed
treatments are based on disease severity. Our purpose was to establish reliable …

Purpose: To quantitatively measure meibomian gland (MG) tortuosity in meibomian gland
dysfunction (MGD) patients and normal controls and to observe the efficacy of evaluating …

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 …

Meibomian glands dysfunction (MGD) is the main cause of dry eyes. Biological parameters
of meibomian gland (MG) such as height, tortuosity and the degree of atrophy are closely …

Meibomian gland dysfunction (MGD) can be considered the leading cause of dry eye
disease (DED) and one of the most common ophthalmic disorders found in clinical practice …

Aim Meibomian gland dysfunction (MGD) is one of the most common disorders in
ophthalmology. The aim of this study was to evaluate the use of this in vivo confocal …

Purpose: To evaluate dysfunction in various ocular surface diseases (OSDs) including
primary meibomian gland disease (MGD), perennial allergic conjunctivitis, and primary and …

Objectives: To investigate the correlation between the clinical grading of the severity of
meibomian gland dysfunction (MGD) and meibomian gland area (MGA) loss detected using …

We aimed to establish an artificial intelligence (AI) system based on deep learning and
transfer learning for meibomian gland (MG) segmentation and evaluate the efficacy of MG …