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Fully Automatic Epiretinal Membrane Segmentation in OCT Scans Using Convolutional Networks
(IGI Global, 2022-06)
[Absctract]: The epiretinal membrane (ERM) is an ocular pathology that can cause visual distortions. To prevent a loss of vision, symptomatic ERM needs to be removed before it can cause irreversible damage. In order to do ...
Generation of Novel Synthetic Portable Chest X-Ray Images for Automatic COVID-19 Screening
(IGI Global, 2022)
[Abstract]: The diagnosis and the study of the evolution of COVID-19 is crucial to tackle the challenge that this disease represents for healthcare services. Chest x-ray imaging allows us to visualize the pulmonary regions, ...
Retinal Vasculature Identification and Characterization Using OCT Imaging
(IntechOpen, 2018)
[Absctract]: The eye fundus is the part of the human body where the blood vessels can be directly observed and studied. For this reason, the analysis and diagnosis of many relevant diseases that affect the circulatory ...
Fully automated identification and clinical classification of macular edema using optical coherence tomography images
(Elsevier, 2020)
[Absctract]: Diabetic macular edema is a relevant ocular disease associated with diabetes mellitus that constitutes a concerning global health issue. This disease is one of the main causes of reversible blindness in ...
Aplicación de IA en procesamiento de imágenes de Tomografía de Coherencia Óptica (OCT)
(Sociedad Española de Retina y Vítreo, 2020)
El EMD es la principal causa de pérdida visual en los pacientes diabéticos. La OCT se ha convertido en la prueba fundamental para realizar el diagnóstico y seguimiento de los pacientes con EMD en las consultas de oftalmología. ...
Intraretinal fluid map generation in optical coherence tomography images
(Elsevier, 2020)
[Abstract]: The retina represents one of the most studied parts of the human body, thanks to its easy access for any ophthalmological study. It represents the main neurosensory part of the eye and, by its study, pathologies ...
Plataforma de apoyo en el diagnóstico de COVID y otras patologías mediante Deep Learning
(2022)
La gravedad de la pandemia producida por la Covid-19 ha promovido el desarrollo de proyectos que buscan soluciones a la crisis sanitaria derivada de esta enfermedad. El Complejo Hospitalario Universitario A Coruña (CHUAC) ...
Computerized tool for the automatic segmentation of DRT edemas using OCT scans
(IOP Publishing, 2023)
[Abstract]: This chapter presents a software tool for the automated segmentation of diffuse retinal thickening regions from optical coherence tomography (OCT) images. For this purpose, two retinal regions were defined and ...