Results 61 to 70 of about 1,825,190 (283)

Evaluating imaging repeatability of fully self-service fundus photography within a community-based eye disease screening setting

open access: yesBioMedical Engineering OnLine
Purpose This study aimed to investigate the imaging repeatability of self-service fundus photography compared to traditional fundus photography performed by experienced operators. Design Prospective cross-sectional study. Methods In a community-based eye
Juzhao Zhang   +13 more
doaj   +1 more source

Observations on Two Previously Unreported Anatomical Factors Relating to the Esophagogastric Junction

open access: yesClinical Anatomy, EarlyView.
ABSTRACT The esophagogastric junction (EGJ) is the anatomical zone where the esophagus ends and the stomach begins. Its competence in preventing gastro‐esophageal reflux has been shown to depend on a number of factors which have been extensively investigated and widely accepted.
Yuhan Guo   +4 more
wiley   +1 more source

Fundus autofluorescence applications in retinal imaging

open access: yesIndian Journal of Ophthalmology, 2015
Fundus autofluorescence (FAF) is a relatively new imaging technique that can be used to study retinal diseases. It provides information on retinal metabolism and health. Several different pathologies can be detected.
Andrea Gabai   +2 more
doaj   +1 more source

Fundus image for neurologists

open access: yesHeadache Medicine, 2022
Fundus image for ...
openaire   +1 more source

Optic Nerve Head Measurements Across Optical Coherence Tomography Platforms and Incidental Optic Nerve Head Drusen in Community Screenings

open access: yesEye &ENT Research, EarlyView.
ABSTRACT Background Automated vertical cup‐to‐disc ratio (VCDR) measurements are commonly used in optic nerve assessment, but measurements may vary across optical coherence tomography (OCT) platforms, particularly in eyes with atypical optic nerve anatomy such as optic nerve head drusen (ONHD).
Sedra T. Alabed   +3 more
wiley   +1 more source

Artificial Intelligence in Ophthalmology: From Methodological Advances to Clinical Translation and Future Directions

open access: yesEye &ENT Research, EarlyView.
ABSTRACT Artificial intelligence (AI) is reshaping ophthalmology from task‐specific image analysis toward multimodal, longitudinal, and clinically integrated decision support. This narrative review summarizes the methodological evolution of ophthalmic AI, including traditional machine learning, task‐specific deep learning, self‐supervised learning ...
Yuxin Liu, Hanruo Liu
wiley   +1 more source

Video indirect ophthalmoscopy using a hand-held video camera

open access: yesIndian Journal of Ophthalmology, 2011
Fundus photography in adults and cooperative children is possible with a fundus camera or by using a slit lamp-mounted digital camera. Retcam TM or a video indirect ophthalmoscope is necessary for fundus imaging in infants and young children under ...
Shanmugam Mahesh
doaj  

A review of fundus autofluorescence imaging

open access: yesAfrican Vision and Eye Health, 2013
Autofluorscence photography of the retina provides important diagnostic information about diseases that affect the outer retina; more specifically the retinal pigment epithelium and photoreceptors.
D. J. Booysen
doaj   +1 more source

Trainable COSFIRE filters for vessel delineation with application to retinal images [PDF]

open access: yes, 2015
Retinal imaging provides a non-invasive opportunity for the diagnosis of several medical pathologies. The automatic segmentation of the vessel tree is an important pre-processing step which facilitates subsequent automatic processes that contribute to ...
Petkov, Nicolai, Azzopardi, George
core   +1 more source

Artificial Intelligence in Optical Coherence Tomography‐Based Ophthalmic Imaging: From Automated Diagnosis to Personalized Disease Monitoring

open access: yesEye &ENT Research, EarlyView.
ABSTRACT Artificial intelligence (AI) is increasingly applied to optical coherence tomography (OCT) in ophthalmology, but evidence for automated diagnosis is stronger than evidence for longitudinal monitoring. This narrative review evaluates OCT‐based AI with emphasis on disease monitoring and progression, particularly in retinal disease and glaucoma ...
Stjepan Škudar
wiley   +1 more source

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