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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 [...]
Giulia Coco, Vito Romano
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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.
Cogan, David G.+3 more
openaire +5 more sources
Editorial: Corneal disease: an update [PDF]
Luigi Capasso+3 more
openaire +4 more sources
Keratoconus; a true corneal disease [PDF]
Navid Ghassembaglou, Ali R. Djalilian
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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
AN UNUSUAL CASE OF CORNEAL DISEASE [PDF]
F. A. Williamson‐Noble
openaire +4 more sources
Corneal Cross-Linking: The Evolution of Treatment for Corneal Diseases [PDF]
Corneal cross-linking (CXL) using riboflavin and ultraviolet A (UVA) light has become a useful treatment option for not only corneal ectasias, such as keratoconus, but also a number of other corneal diseases. Riboflavin is a photoactivated chromophore that plays an integral role in facilitating collagen crosslinking.
Duoduo Wu+16 more
openaire +4 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