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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 ...
Intraretinal Fluid Pattern Characterization in Optical Coherence Tomography Images
(MDPI AG, 2020-04-03)
[Abstract] Optical Coherence Tomography (OCT) has become a relevant image modality in the ophthalmological clinical practice, as it offers a detailed representation of the eye fundus. This medical imaging modality is ...
Image-to-image translation with Generative Adversarial Networks via retinal masks for realistic Optical Coherence Tomography imaging of Diabetic Macular Edema disorders
(Elsevier, 2023)
[Abstract]: One of the main issues with deep learning is the need of a significant number of samples. We intend to address this problem in the field of Optical Coherence Tomography (OCT), specifically in the context of ...
Feature Definition and Comprehensive Analysis on the Robust Identification of Intraretinal Cystoid Regions Using Optical Coherence Tomography Images
(Springer, 2022)
[Abstract] Currently, optical coherence tomography is one of the most used medical imaging modalities, offering cross-sectional representations of the studied tissues. This image modality is specially relevant for the ...
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 ...
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 ...
Deep learning for segmentation of optic disc and retinal layers in peripapillary optical coherence tomography images
(Society of Photo-Optical Instrumentation Engineers (SPIE), 2023-06)
[Abstract]: Optical coherence tomography (OCT) is a non-invasive technique that allows the retina to be studied with precision, the analysis of the features of its layers and other structures such as the macula or the optic ...
Deep multi-instance heatmap regression for the detection of retinal vessel crossings and bifurcations in eye fundus images
(Elsevier, 2020-04)
[Abstract]: Background and objectives:The analysis of the retinal vasculature plays an important role in the diagnosis of many ocular and systemic diseases. In this context, the accurate detection of the vessel crossings ...
Choroid segmentation in non-EDI OCT images of multiple sclerosis patients
(A. Leitao and L. Ramos (eds.), 2023)
[Abstract]: Optical coherence tomography (OCT) is a non-invasive diagnostic technique that can image ocular structures. Recently, this imaging technique has been used to diagnose and monitor patients with multiple sclerosis ...
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 ...