Results 1 to 10 of about 107,159 (332)
Corneal Disease & Transplantation. [PDF]
Corneal diseases represent the third leading cause of blindness worldwide, and corneal transplantation, which aims at restoring corneal clarity and vision, is the most frequently performed transplant worldwide [...]
Coco G, Romano V.
europepmc +6 more sources
Corneal Opacity in LCAT Disease [PDF]
Deficiency of lecithin:cholesterol acyltransferase, LCAT disease, is one of the dyslipoproteinemias with characteristic lipid deposits in the cornea. The present report documents the clinicopathologic abnormalities of one case in which a full-thickness corneal specimen was obtained at the time of corneal transplantation.
David G. Cogan+3 more
openalex +5 more sources
Editorial: Corneal disease: an update. [PDF]
Capasso L, De Bernardo M, Borrelli M.
europepmc +4 more sources
Keratoconus; a True Corneal Disease. [PDF]
Ghassembaglou N, Djalilian AR.
europepmc +4 more sources
AN UNUSUAL CASE OF CORNEAL DISEASE [PDF]
F. A. Williamson‐Noble
openalex +4 more sources
Study and evaluation of image analysis model of meibomian gland dysfunction based on deep learning [PDF]
AIM:To construct an artificial intelligence(AI)system based on convolutional neural network(CNN), which can automatically evaluate the morphological changes of meibomian gland(MG)in meibomian gland dysfunction(MGD)patients.
Zu-Hui Zhang+4 more
doaj +1 more source
Guidelines for the application of artificial intelligence in the diagnosis of anterior segment diseases (2023) [PDF]
The landscape of ophthalmology has observed monumental shifts with the advent of artificial intelligence (AI) technologies. This article is devoted to elaborating on the nuanced application of AI in the diagnostic realm of anterior segment eye diseases ...
Yi Shao+6 more
doaj +1 more source
Observation of corneal transplantation in peripheral corneal disease postoperatively. [PDF]
Zhang Y, Hu Y, Li X, Shi X, Xu F, Jia H.
europepmc +3 more sources
Exploiting the Generative Adversarial Network Approach to Create a Synthetic Topography Corneal Image [PDF]
Corneal diseases are the most common eye disorders. Deep learning techniques are used to per-form automated diagnoses of cornea. Deep learning networks require large-scale annotated datasets, which is conceded as a weakness of deep learning. In this work, a method for synthesizing medical images using conditional generative adversarial networks (CGANs),
arxiv +1 more source
Corneal retardation time as an ocular hypertension disease indicator [PDF]
Objective. A detailed analysis of the corneal retardation time $\tau$ as a highly related parameter to the intraocular pressure (IOP), and its plausible role as an indicator of ocular hypertension disease. Approach. A simple theoretical expression for $\tau$ is derived within the corneal viscoelastic model of Kelvin-Voigt with 3 elements.
arxiv +1 more source