ListarGI-VARPA - Congresos, conferencias, etc. por tema "Retinal imaging"
Mostrando ítems 1-18 de 18
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3D Retinal Vessel Tree Segmentation and Reconstruction with OCT Images
(Springer, 2016-07-01)[Absctract]: Detection and analysis of the arterio-venular tree of the retina is a relevant issue, providing useful information in procedures such as the diagnosis of different pathologies. Classical approaches for vessel ... -
Artery/vein classification of blood vessel tree in retinal imaging
(SCITEPRESS – Science and Technology Publications, 2017)[Absctract]: Alterations in the retinal microcirculation are signs of relevant diseases such as hypertension, arteriosclerosis, or diabetes. Specifically, arterial constriction and narrowing were associated with early ... -
Automatic Detection of Blood Vessels in Retinal OCT Images
(Springer Verlag, 2017-06)[Abstract]: The eye is a non-invasive window where clinicians can observe and study in vivo the retinal vasculature, allowing the early detection of different relevant pathologies. In this paper, we present a complete ... -
Automatic extraction of vascularity measurements using OCT-A images
(Elsevier, 2018)[Absctract]: Optical Coherence Tomography Angiography (OCT-A) represents a new modality of ophthalmological imaging that stands out for being a non-invasive capture technique that facilitates the analysis of the vascular ... -
Automatic Identification of Intraretinal Cystoid Regions in Optical Coherence Tomography
(Springer, 2017-05)[Absctract]: Optical Coherence Tomography (OCT) is, nowadays, one of the most referred ophthalmological imaging techniques. OCT imaging offers a window to the eye fundus in a non-invasive way, permitting the inspection of ... -
Automatic Identification of Macular Edema in Optical Coherence Tomography Images
(SCITEPRESS – Science and Technology Publications, 2018)[Absctract]: This paper proposes a novel system for the simultaneous identification and characterization of the three types of Macular Edema (ME) in Optical Coherence Tomography (OCT). These MEs are clinically defined, ... -
Automatic Retinal Vascularity Identification and Artery/Vein Classification Using Near-Infrared Reflectance Retinographies
(Springer, 2019-01)[Absctract]: The retinal microcirculation structure is commonly used as an important source of information in many medical specialities for the diagnosis of relevant diseases such as, for reference, hypertension, ... -
Automatic System for the Identification and Visualization of the Retinal Vessel Tree Using OCT Imaging
(MDPI, 2018)[Abstract]: This paper proposes a system for the three-dimensional identification and visualization of the retinal vasculature using Optical Coherence Tomography (OCT) scans. This fully automatic tool provides useful ... -
Automatic Tool for the Detection, Characterization and Intuitive Visualization of Macular Edema Regions in OCT Images
(MDPI AG, 2019-08-01)[Abstract] The methodology presented in this paper aims to detect pathological regions affected by one or more of the three clinically defined types of Diabetic Macular Edema (DME). Using representative samples extracted ... -
Automatic vessel detection by means of brightness profile characterization in OCT images
(Elsevier B.V., 2017)[Abstract]: Optical Coherence Tomography (OCT) is a well-established medical imaging technique that allows the analysis of the eye fundus characteristics in real time. These images enable the experts to make a clinical ... -
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 ... -
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 ... -
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 ... -
Vessel Tree Extraction and Depth Estimation with OCT Images
(Springer, 2016-09-08)[Absctract]: The identification of the retinal arterio-venular tree is a relevant issue for its analysis in a large variability of procedures. Classical methodologies employ 2D acquisition strategies that obtain a limited ...