Results 51 to 60 of about 9,577 (215)

Genome‐wide association and interaction analysis for proliferative retinopathy in adults with type 2 diabetes born during famine: The DOLCE study in Ukraine

open access: yesActa Ophthalmologica, EarlyView.
Abstract Purpose Proliferative diabetic retinopathy (PDR) is one of the leading causes of blindness in working‐age adults. We have previously shown that the risk of PDR is significantly elevated in individuals with intrauterine exposure to famine. However, the genetic mechanisms mediating this association remain unknown.
Olena Fedotkina   +7 more
wiley   +1 more source

Microaneurysms in renal angiomyolipomas: Can clinical and computed tomography features predict their presence and size?

open access: yes, 2016
International audiencePURPOSE: To evaluate clinical and multidetector computed tomography (MDCT) features associated with the presence and size of microaneurysms in renal angiomyolipomas (AMLs).
Martinelli, T.   +6 more
core   +1 more source

Comparison of swept source – Optical coherence tomography angiography with fundus fluorescein angiography for detection of lesions in diabetic retinopathy

open access: yesTaiwan Journal of Ophthalmology
PURPOSE: The purpose of this study was to compare the rate of detection of diabetic retinopathy (DR) lesions and the agreement for grading DR severity between swept-source optical coherence tomography angiography (OCTA) and fundus fluorescein angiography
Santosh Kumar Mahapatra   +3 more
doaj   +1 more source

Evaluation of spatial distribution of initial marking strategy among inexperienced graders in diabetic retinopathy: A retrospective cross‐sectional analysis

open access: yesActa Ophthalmologica, EarlyView.
Abstract Background Manual diabetic retinopathy (DR) grading may prefer certain regions and underestimate others. It is unclear if inexperienced graders' initial marking strategy reflects a specialist's marking pattern. Aims By the virtual ocular learning platform (VIOLA), we evaluated if initial DR‐lesion markings among inexperienced graders spatially
Simon Joel Ellerup Lowater   +5 more
wiley   +1 more source

Localising Microaneurysms in Fundus Images Through Singular Spectrum Analysis [PDF]

open access: yes, 2019
Goal: Reliable recognition of microaneurysms is an essential task when developing an automated analysis system for diabetic retinopathy detection. In this work, we propose an integrated approach for automated microaneurysm detection with high accuracy ...
Wang, Su   +6 more
core   +1 more source

Ocular Manifestations of Metabolic Syndrome: A Systemic Vascular Phenotype

open access: yesDiabetes, Obesity and Metabolism, EarlyView.
ABSTRACT Context Metabolic syndrome (MetS) is defined by central obesity, insulin resistance, hypertension and dyslipidemia. MetS affects over one‐third of US adults. Beyond its cardiovascular burden, MetS has clinically relevant associations with ocular health and may contribute to a systemic vascular and neuro‐metabolic phenotype involving the retina,
Ron T. Varghese, Ansu A. John
wiley   +1 more source

Automatic detection of microaneurysms in colour fundus images for diabetic retinopathy screening. [PDF]

open access: yes, 2016
Regular eye screening is essential for the early detection and treatment of the diabetic retinopathy. This paper presents a novel automatic screening system for diabetic retinopathy that focuses on the detection of the earliest visible signs of ...
Palade, Vasile   +3 more
core   +1 more source

Comparison between liraglutide and dulaglutide on the incidence or progression of eye and kidney complications

open access: yesJournal of Diabetes Investigation, EarlyView.
We conducted the single‐center, retrospective cohort study to evaluate and compare the risk of diabetic eye and kidney complications between newly initiated once‐daily liraglutide (0.9 mg) and once‐weekly dulaglutide (0.75 mg) in 331 Japanese patients with type 2 diabetes.
Aki Katamine   +4 more
wiley   +1 more source

Retinal fundus image constrast normalization using mixture of gaussians [PDF]

open access: yes, 2008
We present a fast and robust method to correct contrast variation in retinal fundus imagery. The technique uses a mixture of Gaussians to model the bias of the intensity variation. Typically a three or four component mixture is sufficient to characterize
Bhalerao, Abhir   +5 more
core   +1 more source

The State of Retinal Image Analysis: Deep Learning Advances and Applications

open access: yesIEEE Access
This study explores deep learning techniques that can help diagnose eye conditions, focusing on diabetic retinopathy (DR). By using cutting-edge technology in image processing and artificial intelligence, it aims to better understand and classify various
Toufique Ahmed Soomro   +5 more
doaj   +1 more source

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