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Intraretinal fluid map generation in optical coherence tomography images
(Elsevier, 2020)
[Abstract]: The retina represents one of the most studied parts of the human body, thanks to its easy access for any ophthalmological study. It represents the main neurosensory part of the eye and, by its study, pathologies ...
Artery/Vein Vessel Tree Identification in Near-Infrared Reflectance Retinographies
(Springer, 2019-05-29)
[Abstract]: An accurate identification of the retinal arteries and veins is a relevant issue in the development of automatic computer-aided diagnosis systems that facilitate the analysis of different relevant diseases that ...
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 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 ...
Multivendor fully automatic uncertainty management approaches for the intuitive representation of DME fluid accumulations in OCT images
(Springer, 2023-01-24)
[Abstract]: Diabetes represents one of the main causes of blindness in developed countries, caused by fluid accumulations in the retinal layers. The clinical literature defines the different types of diabetic macular edema ...