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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 ...
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 ...
Deep Multi-Segmentation Approach for the Joint Classification and Segmentation of the Retinal Arterial and Venous Trees in Color Fundus Images
(MDPI, 2021)
[Abstract] The analysis of the retinal vasculature represents a crucial stage in the diagnosis of several diseases. An exhaustive analysis involves segmenting the retinal vessels and classifying them into veins and arteries. ...
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 ...
Context encoder self-supervised approaches for eye fundus analysis
(Institute of Electrical and Electronics Engineers Inc., 2021)
[Abstract]: The broad availability of medical images in current clinical practice provides a source of large image datasets. In order to use these datasets for training deep neural networks in detection and segmentation ...
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 ...
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 ...
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 ...
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 ...