Artificial intelligence in dry eye disease
Dry eye disease (DED) has a prevalence of between 5 and 50%, depending on the
diagnostic criteria used and population under study. However, it remains one of the most …
diagnostic criteria used and population under study. However, it remains one of the most …
Latest developments in meibography: a review
K Swiderska, ML Read, CA Blackie… - The ocular …, 2022 - Elsevier
Meibography is a visualisation technique that has been used for over 40 years. There have
been significant improvements in image quality, examination technique and image …
been significant improvements in image quality, examination technique and image …
[HTML][HTML] Deep learning-based automatic meibomian gland segmentation and morphology assessment in infrared meibography
MAK Setu, J Horstmann, S Schmidt, ME Stern… - Scientific reports, 2021 - nature.com
Meibomian glands (MG) are large sebaceous glands located below the tarsal conjunctiva
and the abnormalities of these glands cause Meibomian gland dysfunction (MGD) which is …
and the abnormalities of these glands cause Meibomian gland dysfunction (MGD) which is …
Automated quantification of meibomian gland dropout in infrared meibography using deep learning
RK Saha, AMM Chowdhury, KS Na, GD Hwang… - The Ocular Surface, 2022 - Elsevier
Purpose Develop a deep learning-based automated method to segment meibomian glands
(MG) and eyelids, quantitatively analyze the MG area and MG ratio, estimate the …
(MG) and eyelids, quantitatively analyze the MG area and MG ratio, estimate the …
[HTML][HTML] Meibomian gland density: An effective evaluation index of meibomian gland dysfunction based on deep learning and transfer learning
Z Zhang, X Lin, X Yu, Y Fu, X Chen, W Yang… - Journal of Clinical …, 2022 - mdpi.com
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 …
transfer learning for meibomian gland (MG) segmentation and evaluate the efficacy of MG …
[HTML][HTML] An automated and multiparametric algorithm for objective analysis of meibography images
P Xiao, Z Luo, Y Deng, G Wang… - Quantitative imaging in …, 2021 - ncbi.nlm.nih.gov
Background Meibography is a non-contact imaging technique used by ophthalmologists and
eye care practitioners to acquire information on the characteristics of meibomian glands …
eye care practitioners to acquire information on the characteristics of meibomian glands …
Visible meibomian gland structure increases after vectored thermal pulsation treatment in dry eye disease patients with meibomian gland dysfunction
AS Hura, AT Epitropoulos, CN Czyz… - Clinical …, 2020 - Taylor & Francis
Purpose To assess the effect of vectored thermal pulsation treatment (VTP) on visible
meibomian gland structure (VGS) in patients with meibomian gland dysfunction (MGD) …
meibomian gland structure (VGS) in patients with meibomian gland dysfunction (MGD) …
Meibomian gland morphology: the influence of structural variations on gland function and ocular surface parameters
Purpose: To objectively and quantitatively characterize meibomian gland morphology and to
investigate the influence of morphological variations on gland function and ocular surface …
investigate the influence of morphological variations on gland function and ocular surface …
Machine learning‐based prediction of tear osmolarity for contact lens practice
IK Garaszczuk, M Romanos‐Ibanez… - Ophthalmic and …, 2024 - Wiley Online Library
Purpose This study addressed the utilisation of machine learning techniques to estimate tear
osmolarity, a clinically significant yet challenging parameter to measure accurately. Elevated …
osmolarity, a clinically significant yet challenging parameter to measure accurately. Elevated …
2D fourier transform for global analysis and classification of meibomian gland images
K Ciężar, M Pochylski - The Ocular Surface, 2020 - Elsevier
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 …
from the use of advanced image analysis methods allowing a quantitative description of the …