Results 41 to 50 of about 2,574 (220)
Historical overview of imaging the meibomian glands
Journal of Optometry, 2013 Growing knowledge of the role of the meibomian glands in dry eye disease and contact lens discomfort has resulted in a surge of interest in visualizing these glands within the eyelids.
William Ngo +2 more
doaj +1 more source
Frontiers in Medicine, 2022 Purpose:To investigate age- and sex-related differences in tear film parameters of normal Indian population and study interparametric relationships.MethodsHealthy subjects with no ocular disease (median ocular surface disease index = 0) were subjected to
Swati Singh +5 more
doaj +1 more source
Novel Approaches for Imaging-Based Diagnosis of Ocular Surface Disease
Diagnostics, 2020 Imaging has become indispensable in the diagnosis and management of diseases in the posterior part of the eye. In recent years, imaging techniques for the anterior segment are also gaining importance and are nowadays routinely used in clinical practice ...
Doreen Schmidl +5 more
doaj +1 more source
Detection of meibomian glands and classification of meibography images [PDF]
Journal of Biomedical Optics, 2012 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 user. The images are then automatically classified. The length of the glands are detected by first normalizing the pixel intensity, extracting stationary points, and then applying
Koh, Y.W. +4 more
openaire +2 more sources
, 2022 Demographics, results of meibography and interferometer in eyes with marginal entropion and control eyes.
Ho-Seok Sa (12306488) +6 more
core +1 more source
Indian Journal of Ophthalmology, 2023 Evaporative dry eye (EDE) due to meibomian gland dysfunction (MGD) is one of the common clinical problems encountered in ophthalmology. It is a major cause of dry eye disease (DED) and of ocular morbidity. In EDE, inadequate quantity or quality of lipids
Purvasha Narang +3 more
doaj +1 more source
Investigative Ophthalmology and Visual Science, 2023 Purpose This study aimed to establish an image-based classification that can reveal the clinical characteristics of patients with dry eye using unsupervised learning methods.
Siyan Li +12 more
semanticscholar +1 more source
A Deep Learning Approach for Meibomian Gland Atrophy Evaluation in Meibography Images [PDF]
, 2019 PurposeTo develop a deep learning approach to digitally segmenting meibomian gland atrophy area and computing percent atrophy in meibography images.MethodsA total of 706 meibography images with corresponding meiboscores were collected and annotated for ...
Wang, Jiayun +4 more
core +1 more source
Dry eye disease in head and neck cancer patients undergoing radiotherapy
Indian Journal of Ophthalmology, 2023 Purpose: To study the incidence of dry eye disease (DED) in head and neck cancer (HNC) patients undergoing external beam radiotherapy (EBRT), to find a correlation between tumor location and total radiation dose with DED, and to report various ...
Meenal Soni, Shweta Walia, Preety Jain
doaj +1 more source
Intra- and interobserver reliability of ocular surface analyzer LacryDiag® [PDF]
International Journal of OphthalmologyAIM: To invastigate intra- and interobserver reliability of interferometry, tear meniscus height (TMH) measurement and meibography (MBG) of an ocular surface analyzer, LacryDiag (Quantel Medical, France).
Eva Kos +5 more
doaj +1 more source