Listar GI-VARPA - Congresos, conferencias, etc. por título
Mostrando ítems 47-66 de 89
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Feature Definition and Selection for Epiretinal Membrane Characterization in Optical Coherence Tomography Images
(Springer, 2017-10)[Absctract]: Optical Coherence Tomography (OCT) is a common imaging technique for the detection and analysis of optical diseases, since it is a non invasive method that generates in vivo a cross-sectional visualization of ... -
Feature definition, analysis and selection for cystoid region characterization in Optical Coherence Tomography
(Elsevier B.V., 2017)[Abstract]: Optical Coherence Tomography (OCT) is, nowadays, a clinical standard imaging technique in opthalmology as it provides more information than other classical modalities as can be, for instance, retinographies. ... -
Fluid Region Analysis and Identification via Optical Coherence Tomography Image Samples
(MDPI, 2018)[Abstract]: The work herein proposed presents a methodology which aims to identify cystoid regions using OCT scans. This method obtained satisfactory results detecting cystoid regions with different levels of complexity ... -
Fully Automatic Method for the Visual Acuity Estimation Using OCT Angiographies
(MDPI AG, 2020-09-04)[Abstract] In this work we propose the automatic estimation of the visual acuity of patients with retinal vein occlusion using Optical Coherence Tomography by Angiography (OCTA) images. To do this, we first extract the ... -
Fully automatic multi-temporal land cover classification using Sentinel-2 image data
(Elsevier BV, 2019)[Abstract] The analysis of remote sensing images represents a highly important issue to be performed in many relevant fields such as climate change studies or land cover mapping. Traditional proposals usually identify the ... -
Fully Automatic Retinal Vascular Tortuosity Assessment Integrating Domain-Related Information
(MDPI AG, 2020-08-21)[Abstract] The fundus of the eye is the only part of the human body that allows a direct non-invasive observation of the circulatory system. Retinal vascular tortuosity presents a valuable potential for diagnostic and ... -
Fully automatic segmentation of the choroid in non-EDI OCT images of patients with multiple sclerosis
(Elsevier, 2022)[Abstract]: Multiple Sclerosis (MS) is a chronic neurological disease, in which immune-mediated mechanisms lead to pathological processes of neurodegeneration. Optical coherence tomography (OCT) has recently begun to be ... -
Fully-automatic segmentation of the ciliary muscle using anterior segment optical coherence tomography images
(Institute of Electrical and Electronics Engineers, 2022)[Abstract]: The study of the ciliary muscle represents a fundamental step in the diagnosis and treatment of many high-incidence diseases, such as glaucoma or myopia. Currently, Anterior Segment Optical Coherence Tomography ... -
Herramienta informática para la visualización 3D interactiva de la estructura vascular de la retina
(2016-09)[Resumen]: Introducción: Tomografía de Coherencia Óptica (OCT) (método de diagnóstico e imágenes tomográficas de la retina). Análisis de la estructura vascular de la retina (diagnóstico de diferentes enfermedades). Estado ... -
High/Low Quality Style Transfer for Mutual Conversion of OCT Images Using Contrastive Unpaired Translation Generative Adversarial Networks
(Springer, 2022-05-15)[Absctract]: Recent advances in artificial intelligence and deep learning models are contributing to the development of advanced computer-aided diagnosis (CAD) systems. In the context of medical imaging, Optical Coherence ... -
Impact of the Region of Analysis on the Performance of the Automatic Epiretinal Membrane Segmentation in OCT Images
(Springer, 2023-02-10)[Absctract]: The Epiretinal Membrane (ERM) is an ocular pathology that can cause permanent visual loss if left untreated for long. Despite its transparency, it is possible to visualise the ERM in Optical Coherence Tomography ... -
Integrando a linguaxe inclusiva no currículo universitario: un caso de estudo no Grao en Inglés da UDC
(Águeda Gómez Suárez, Ana Neira Pena e Marta Pérez Pereiro: Universidade de Vigo; Universidade da Coruña; Universidade de Santiago de Compostela, 2023)[Resumo]: Neste estudo, proponse unha actividade de innovación docente no contexto da materia Tecnoloxías da Información e da Comunicación (TIC) do Grao en Inglés da Universidade da Coruña (UDC), co obxectivo de promover ... -
Interactive Three-Dimensional Visualization System of the Vascular Structure in OCT Retinal Images
(Springer, 2018-01)[Absctract]: This paper proposes an automated tool for the 3D visualization of the retinal arterio-venular tree using Optical Coherence Tomography (OCT) images. The methodology takes advantage of different image processing ... -
Intraretinal Fluid Detection by Means of a Densely Connected Convolutional Neural Network Using Optical Coherence Tomography Images
(MDPI AG, 2019-08-01)[Abstract] Hereby we present a methodology with the objective of detecting retinal fluid accumulations in between the retinal layers. The methodology uses a robust Densely Connected Neural Network to classify thousands of ... -
Intuitive and Coherent Intraretinal Cystoid Map Representation in Optical Coherence Tomography Images
(Springer, 2020)[Abstract]: Fluid accumulations in between the retinal layers represent one of the main causes of blindness in developed countries. Currently, these fluid accumulations are detected by means of a manual inspection of Optical ... -
Joint Optic Disc and Cup Segmentation Using Self-Supervised Multimodal Reconstruction Pre-Training
(MDPI AG, 2020-08-20)[Abstract] The analysis of the optic disc and cup in retinal images is important for the early diagnosis of glaucoma. In order to improve the joint segmentation of these relevant retinal structures, we propose a novel ... -
Multi-expert analysis and validation of objective vascular tortuosity measurements
(Elsevier, 2018)[Absctract]: The retinal vascular tortuosity is a commonly used parameter for the early diagnosis of several diseases that affects the circulatory system. The manual analysis of fundus images for the tortuosity characterization ... -
Multi-task Convolutional Neural Networks for the End-to-end Simultaneous Segmentation and Screening of the Epiretinal Membrane in OCT Images
(EasyChair, 2023-02-16)[Absctract]: The Epiretinal Membrane (ERM) is an ocular pathology that causes visual distortion. In order to detect and treat the ERM, ophthalmologists visually inspect Optical Coherence Tomography (OCT) images.This is ... -
Multimodal registration of retinal images using domain-specific landmarks and vessel enhancement
(Elsevier, 2018)[Absctract]: The analysis of different image modalities is frequently performed in ophthalmology as it provides complementary information for the diagnosis and follow-up of relevant diseases, like hypertension or diabetes. ... -
Optical Coherence Tomography Denoising by Means of a Fourier Butterworth Filter-Based Approach
(Springer, 2017)[Abstract]: Optical Coherence Tomography (OCT) is affected by ubiquitous speckle noise that difficult the visualization and analysis of the retinal structures. Any denoising strategy should be able to remove efficiently ...