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Published in 2019 at "Scientific Reports"
DOI: 10.1038/s41598-019-47770-9
Abstract: Retinal arterioles, venules and capillaries are differentially affected in diabetes, and studying vascular alterations may provide information on pathogenesis of diabetic retinopathy (DR). We conducted a cross-sectional study on 49 diabetic patients, who underwent fundus…
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Keywords:
arteriolar venular;
optical coherence;
diabetic retinopathy;
retinal arteriolar ... See more keywords
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Published in 2021 at "Current Eye Research"
DOI: 10.1080/02713683.2021.1900268
Abstract: ABSTRACT Purpose: This study developed and evaluated a deep learning ensemble method to automatically grade the stages of glaucoma depending on its severity. Materials and Methods: After cross-validation of three glaucoma specialists, the final dataset…
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Keywords:
ensemble method;
method;
deep learning;
glaucoma ... See more keywords
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Published in 2022 at "Asia-Pacific Journal of Ophthalmology"
DOI: 10.1097/apo.0000000000000509
Abstract: Abstract Structural and functional alterations in the microcirculation by systemic hypertension can cause significant organ damage at the eye, heart, brain, and kidneys. As the retina is the only tissue in the body that allows…
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Keywords:
fundus photographs;
retinal imaging;
era retinal;
optics ... See more keywords
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Published in 2019 at "Retina"
DOI: 10.1097/iae.0000000000002630
Abstract: PURPOSE To determine the prevalence and characteristics of abruptly emerging vessels (AEVs) within patchy atrophy (PA) in myopic eyes. METHODS We studied 160 highly myopic eyes of 144 patients between March and November in 2016.…
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Keywords:
atrophy;
eyes myopic;
emerging vessels;
abruptly emerging ... See more keywords
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1
Published in 2022 at "Journal of Medical Imaging"
DOI: 10.1117/1.jmi.9.6.064001
Abstract: Abstract. Purpose To compare the performance of four deep active learning (DAL) approaches to optimize label efficiency for training diabetic retinopathy (DR) classification deep learning models. Approach 88,702 color retinal fundus photographs from 44,351 patients…
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Keywords:
random sampling;
fundus photographs;
active learning;
classification ... See more keywords
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1
Published in 2022 at "Frontiers in Medicine"
DOI: 10.3389/fmed.2022.923096
Abstract: Objective To assess the accuracy of probabilistic deep learning models to discriminate normal eyes and eyes with glaucoma from fundus photographs and visual fields. Design Algorithm development for discriminating normal and glaucoma eyes using data…
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Keywords:
fundus photographs;
glaucoma;
probabilistic deep;
learning ... See more keywords
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Published in 2022 at "Turkish Journal of Ophthalmology"
DOI: 10.4274/tjo.galenos.2021.29726
Abstract: Objectives: To evaluate the performance of convolutional neural network (CNN) architectures to distinguish eyes with glaucoma from normal eyes. Materials and Methods: A total of 9,950 fundus photographs of 5,388 patients from the database of…
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Keywords:
fundus;
fundus photographs;
glaucoma;
ophthalmology ... See more keywords