Articles with "fundus photographs" as a keyword



Global Assessment of Retinal Arteriolar, Venular and Capillary Microcirculations Using Fundus Photographs and Optical Coherence Tomography Angiography in Diabetic Retinopathy

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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… read more here.

Keywords: arteriolar venular; optical coherence; diabetic retinopathy; retinal arteriolar ... See more keywords

Deep Learning Ensemble Method for Classifying Glaucoma Stages Using Fundus Photographs and Convolutional Neural Networks

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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… read more here.

Keywords: ensemble method; method; deep learning; glaucoma ... See more keywords

The New Era of Retinal Imaging in Hypertensive Patients

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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… read more here.

Keywords: fundus photographs; retinal imaging; era retinal; optics ... See more keywords

ABRUPTLY EMERGING VESSELS IN EYES WITH MYOPIC PATCHY CHORIORETINAL ATROPHY.

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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.… read more here.

Keywords: atrophy; eyes myopic; emerging vessels; abruptly emerging ... See more keywords

The Role of Artificial Intelligence in Predicting Optic Neuritis Subtypes From Ocular Fundus Photographs

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Published in 2024 at "Journal of Neuro-Ophthalmology"

DOI: 10.1097/wno.0000000000002229

Abstract: Background: Optic neuritis (ON) is a complex clinical syndrome that has diverse etiologies and treatments based on its subtypes. Notably, ON associated with multiple sclerosis (MS ON) has a good prognosis for recovery irrespective of… read more here.

Keywords: artificial intelligence; role; fundus photographs; optic neuritis ... See more keywords

Efficient labeling of retinal fundus photographs using deep active learning

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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… read more here.

Keywords: random sampling; fundus photographs; active learning; classification ... See more keywords

Deep learning-based automatic image quality assessment in ultra-widefield fundus photographs

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Published in 2025 at "BMJ Open"

DOI: 10.1136/bmjopen-2025-100058

Abstract: Objective With a growing need for ultra-widefield fundus (UWF) fundus photographs in clinics and AI development, image quality assessment (IQA) of UWF fundus photographs is an important preceding step for accurate diagnosis and clinical interpretation.… read more here.

Keywords: image; iqa; uwf iqa; fundus photographs ... See more keywords

Detecting glaucoma from multi-modal data using probabilistic deep learning

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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… read more here.

Keywords: fundus photographs; glaucoma; probabilistic deep; learning ... See more keywords

Investigation of the Role of Convolutional Neural Network Architectures in the Diagnosis of Glaucoma using Color Fundus Photography

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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… read more here.

Keywords: fundus; fundus photographs; glaucoma; ophthalmology ... See more keywords