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Comparison of optic disk and retinal nerve fiber layer thickness in nonglaucomatous and glaucomatous patients with high myopia
(Elsevier B.V., 2006-11-01)
PURPOSE: To assess the optic nerve head (ONH) by optical coherence tomography (OCT), confocal scanning laser ophthalmoscopy (CSLO), and the retinal nerve fiber layer (RNFL) by OCT and scanning laser polarimetry (GDx) in ...
Immunolocalization of myosin Va in the developing nervous system of embryonic chicks
(Springer, 2004-08-01)
Myosins are molecular motors associated with the actin cytoskeleton that participate in the mechanisms of cellular motility. During the development of the nervous system, migration of nerve cells to specific sites, extension ...
Factors affecting the variability of the Heidelberg Retina Tomograph III measurements in newly diagnosed glaucoma patients
(Conselho Brasileiro de Oftalmologia, 2010-08-01)
PURPOSE: To determine factors associated with the test-retest variability of optic nerve head (ONH) topography measurements with confocal scanning laser ophthalmoscopy (CSLO) in newly diagnosed glaucomatous patients. ...
Macrodisco y glaucoma en individuos estudiados con tomografía óptica coherente
(Universidad del RosarioEspecialización en OftalmologíaFacultad de Medicina, 2012)
Introduction: Glaucoma is the third leading cause of blindness worldwide and timely diagnosis requires evaluating the cup of the optic nerve which is related to the same area. There are reports of larger areas (macro ...
Implementación de técnicas aplicadas para la identificación y prevención del Glaucoma mediante el uso de imágenes médicas y software especializado
(2016-07)
In this project processing biomedical imaging is performed to locate the most relevant parameters considered within images obtained fundus for determining whether or not the Glaucoma, a disease that physically affects the ...
Deep learning analysis of eye fundus images to support medical diagnosis
(Bogotá - Ingeniería - Doctorado en Ingeniería - Sistemas y ComputaciónUniversidad Nacional de Colombia - Sede Bogotá, 2020-06-30)
Machine learning techniques have been successfully applied to support medical decision making of cancer, heart diseases and degenerative diseases of the brain. In particular, deep learning methods have been used for early ...