Listar 1. Investigación por título
Mostrando ítems 1418-1437 de 10319
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Automatic Identification and Intuitive Map Representation of the Epiretinal Membrane Presence in 3D OCT Volumes
(MDPI AG, 2019-11-29)[Abstract] Optical Coherence Tomography (OCT) is a medical image modality providing high-resolution cross-sectional visualizations of the retinal tissues without any invasive procedure, commonly used in the analysis of ... -
Automatic Identification and Representation of the Cornea–Contact Lens Relationship Using AS-OCT Images
(MDPI AG, 2019-11-21)[Abstract] The clinical study of the cornea–contact lens relationship is widely used in the process of adaptation of the scleral contact lens (SCL) to the ocular morphology of patients. In that sense, the measurement of ... -
Automatic Identification and Segmentation of Diffuse Retinal Thickening Macular Edemas Using OCT Imaging
(MDPI, 2018)[Abstract]: This paper proposes a novel methodology for the automatic identification and segmentation of the Diffuse Retinal Thickening (DRT) edemas using Optical Coherence Tomography (OCT) images as source of information. ... -
Automatic Identification of Diabetic Macular Edema Using a Transfer Learning-Based Approach
(MDPI AG, 2019-07-31)[Abstract] This paper presents a complete system for the automatic identification of pathological Diabetic Macular Edema (DME) cases using Optical Coherence Tomography (OCT) images as source of information. To do so, the ... -
Automatic macular edema identification and characterization using OCT images
(Elsevier, 2018-09)[Abstract]: Background and objective: The detection and characterization of the intraretinal fluid accumulation constitutes a crucial ophthalmological issue as it provides useful information for the identification and ... -
Automatic mapping of parallel applications on multicore architectures using the Servet benchmark suite
(Pergamon Press, 2012-03)[Abstract] Servet is a suite of benchmarks focused on detecting a set of parameters with high influence on the overall performance of multicore systems. These parameters can be used for autotuning codes to increase their ... -
Automatic multiscale vascular image segmentation algorithm for coronary angiography
(Elsevier, 2018-09)[Abstract] Cardiovascular diseases, particularly severe stenosis, are the main cause of death in the western world. The primary method of diagnosis, considered to be the standard in the detection and quantification of ... -
Automatic Optimization of Web Navigation Sequences
(Springer, 2012)[Abstract]: Web automation applications are widely used for different purposes such as B2B integration, automated testing of web applications or technology and business watch. In this work-in-progress paper we outline a ... -
Automatic Parametrization and Shadow Analysis of Roofs in Urban Areas from ALS Point Clouds with Solar Energy Purposes
(MDPI, 2018-07-28)[Abstract]: A basic feature of modern and smart cities is their energetic sustainability, using clean and renewable energies and, therefore, reducing the carbon emissions, especially in large cities. Solar energy is one ... -
Automatic Parametrization of Urban Areas Using ALS Data: The Case Study of Santiago de Compostela
(MDPI, 2018-11-09)[Abstract]: Nowadays, gathering accurate and meaningful information about the urban environment with the maximum efficiency in terms of cost and time has become more relevant for city administrations, as this information ... -
Automatic Pipeline for Detection and Classification of Phytoplankton Specimens in Digital Microscopy Images of Freshwater Samples
(MDPI, 2021)[Abstract] Phytoplankton blooming can compromise the quality of the water and its safety due to the negative effects of the toxins that some species produce. Therefore, the continuous monitoring of water sources is typically ... -
Automatic Pixel-Parallel Extraction of the Retinal Vascular Tree Algorithm Design, On-Chip Implementation an Applications
(2008)[Resumen] La tesis doctoral propone un nuevo algoritmo para la extracción del árbol arterio-venoso en imágenes digitales de retina usando sistemas pixel paralelo que le confiere un procesamiento a alta velocidad, ... -
Automatic Rescaling and Tuning of Big Data Applications on Container-Based Virtual Environments
(2020)[Resumo] As aplicacións Big Data actuais evolucionaron dun xeito significativo, dende fluxos de traballo baseados en procesamento por lotes ata outros máis complexos que poden requirir múltiples etapas de procesamento ... -
Automatic Segmentation and Intuitive Visualisation of the Epiretinal Membrane in 3D OCT Images Using Deep Convolutional Approaches
(IEEE, 2021)[Abstract] Epiretinal Membrane (ERM) is a disease caused by a thin layer of scar tissue that is formed on the surface of the retina. When this membrane appears over the macula, it can cause distorted or blurred vision. ... -
Automatic Segmentation and Visualisation of the Epirretinal Membrane in OCT Scans Using Densely Connected Convolutional Networks
(MDPI, 2021)[Abstract] The Epiretinal Membrane (ERM) is an ocular disease that appears as a fibro-cellular layer of tissue over the retina, specifically, over the Inner Limiting Membrane (ILM). It causes vision blurring and distortion, ... -
Automatic Segmentation of Diffuse Retinal Thickening Edemas Using Optical Coherence Tomography Images
(Elsevier B.V., 2018)[Abstract]: Diabetic retinopathy is one of the leading causes of vision impairment that is commonly associated to the Macular Edema (ME) disease. The Diffuse Retinal Thickening (DRT) is a ME type derived from the local ... -
Automatic Segmentation of Retinal Layers in Multiple Neurodegenerative Disorder Scenarios
(IEEE, 2023-11)[Absctract]: Retinal Optical Coherence Tomography (OCT) allows the non-invasive direct observation of the central nervous system, enabling the measurement and extraction of biomarkers from neural tissue that can be helpful ... -
Automatic Seizure Detection Based on Star Graph Topological Indices
(Elsevier, 2012-08-15)[Abstract] The recognition of seizures is very important for the diagnosis of patients with epilepsy. The seizure is a process of rhythmic discharge in brain and occurs rarely and unpredictably. This behavior generates a ... -
Automatic simultaneous ciliary muscle segmentation and biomarker extraction in AS-OCT images using deep learning-based approaches
(Elsevier, 2024-04)[Abstract]: Recent clinical studies have emphasized the importance of understanding the morphology and mechanics of the ciliary muscle. The ciliary muscle plays a vital role in various functions related to the anterior ... -
Automatic solar cell diagnosis and treatment
(Springer, 2021-04)[Abstract]: Solar cells represent one of the most important sources of clean energy in modern societies. Solar cell manufacturing is a delicate process that often introduces defects that reduce cell efficiency or compromise ...