Buscar
Mostrando ítems 1-10 de 23
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 ...
Paired and Unpaired Deep Generative Models on Multimodal Retinal Image Reconstruction
(M D P I AG, 2019-08-07)
[Abstract] This work explores the use of paired and unpaired data for training deep neural networks in the multimodal reconstruction of retinal images. Particularly, we focus on the reconstruction of fluorescein angiography ...
Retinal Vascular Analysis in a Fully Automated Method for the Segmentation of DRT Edemas Using OCT Images
(Elsevier BV, 2019)
[Abstract] Optical Coherence Tomography (OCT) is a well-established medical imaging technique that allows a complete analysis and evaluation of the main retinal structures and their histopathology properties. Diabetic ...
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 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 ...
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 ...
Robust segmentation of retinal layers in optical coherence tomography images based on a multistage active contour model
(Elsevier, 2019)
[Abstract]: Optical Coherence Tomography (OCT) constitutes an imaging technique that is increasing its popularity in the ophthalmology field, since it offers a more complete set of information about the main retinal ...
Sistema automático de identificación del edema macular diabético usando imágenes de tomografía de coherencia óptica
(2019-03)
El edema macular diabético (EMD) es una de las principales causas de pérdida de visión en la población en edad laboral. La tomografía de coherencia óptica (OCT), se ha convertido en una herramienta imprescindible para la ...
Computerized tool for identification and enhanced visualization of Macular Edema regions using OCT scans
(2019-04)
[Absctract]: We propose a novel methodology using Optical Coherence
Tomography (OCT) images to detect the 3 clinically defined types of Macular
Edema, which is among the main causes of blindness: Diffuse Retinal
Thickening ...
Automatic identification and classification of diabetic macular edema using optical coherence tomography images
(2019-09)
[Absctract]: The automatic identification of the progressive intraretinal fluid accumulation constitutes a crucial ophthalmological issue as it provide useful information for the diagnosis, treatment and monitoring of the ...