Results 51 to 60 of about 277,755 (206)

A Smartphone-Based Tool for Rapid, Portable, and Automated Wide-Field Retinal Imaging. [PDF]

open access: yes, 2018
Purpose:High-quality, wide-field retinal imaging is a valuable method for screening preventable, vision-threatening diseases of the retina. Smartphone-based retinal cameras hold promise for increasing access to retinal imaging, but variable image quality
Davila, Jose R   +15 more
core  

Joint Segmentation and Uncertainty Visualization of Retinal Layers in Optical Coherence Tomography Images using Bayesian Deep Learning

open access: yes, 2018
Optical coherence tomography (OCT) is commonly used to analyze retinal layers for assessment of ocular diseases. In this paper, we propose a method for retinal layer segmentation and quantification of uncertainty based on Bayesian deep learning.
A Carass   +12 more
core   +1 more source

Optical Coherence Tomography Angiography of the Optic Disc; an Overview. [PDF]

open access: yes, 2017
Different diseases of the optic disc may be caused by or lead to abnormal vasculature at the optic nerve head. Optical coherence tomography angiography (OCTA) is a novel technology that provides high resolution mapping of the retinal and optic disc ...
Akil, Handan   +3 more
core   +3 more sources

PMP-Swin: Multi-Scale Patch Message Passing Swin Transformer for Retinal Disease Classification [PDF]

open access: yesarXiv, 2023
Retinal disease is one of the primary causes of visual impairment, and early diagnosis is essential for preventing further deterioration. Nowadays, many works have explored Transformers for diagnosing diseases due to their strong visual representation capabilities. However, retinal diseases exhibit milder forms and often present with overlapping signs,
arxiv  

Diabetic retinopathy: could the alpha-1 antitrypsin be a therapeutic option? [PDF]

open access: yes, 2014
Diabetic retinopathy is one of the most important causes of blindness. The underlying mechanisms of this disease include inflammatory changes and remodeling processes of the extracellular-matrix (ECM) leading to pericyte and vascular endothelial cell ...
Chuluyan, Hector Eduardo   +3 more
core   +1 more source

Recent advances of exosomes in immune-mediated eye diseases

open access: yesStem Cell Research & Therapy, 2019
Exosomes, nanosized extracellular vesicles of 30–150 nm, are shed by almost all cell types. Bearing proteins, lipids, RNAs, and DNAs, exosomes have emerged as vital biological mediators in cell-to-cell communication, affecting a plethora of physiological
Na Li   +5 more
doaj   +1 more source

Comparison of widefield swept-source optical coherence tomography angiography with ultra-widefield fluorescein angiography for the evaluation of lesions in retinal vein occlusion

open access: yesBMC Ophthalmology, 2022
Background To compare widefield swept-source optical coherence tomography angiography (SS-OCTA) with ultra-widefield fundus fluorescein angiography (UWF-FA) for detecting retinal vein occlusion (RVO) lesions.
Li Siying   +5 more
doaj   +1 more source

The Performance of Spot Photoscreener in 6 to 10 Weeks Infants in China: A Cross-Sectional Study

open access: yesJournal of Ophthalmology
Purpose. To compare the refractive errors measured by the Spot photoscreener (with or without cycloplegia) to cycloplegic retinoscopy in 6- to 10-week-old infants. Materials and Methods.
Yaoling Li   +8 more
doaj   +1 more source

Retinal vasculitis in HLA-A29 birdshot retinochoroiditis, particularities and imaging narrative of an under-estimated and diagnostic component of the disease

open access: yesJournal of Ophthalmic Inflammation and Infection
Background HLA-A29 birdshot retinochoroiditis (BRC) is a primary stromal choroiditis (PSC), the hallmark being the choroidal rice-shaped hypopigmented fundus lesions (“birdshot lesions”).
Jérôme Galand   +2 more
doaj   +1 more source

A Dark and Bright Channel Prior Guided Deep Network for Retinal Image Quality Assessment [PDF]

open access: yesarXiv, 2020
Retinal image quality assessment is an essential task in the diagnosis of retinal diseases. Recently, there are emerging deep models to grade quality of retinal images. Current state-of-the-arts either directly transfer classification networks originally designed for natural images to quality classification of retinal images or introduce extra image ...
arxiv  

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