Results 91 to 100 of about 1,821,613 (374)

A deep learning model for classification of diabetic retinopathy in eye fundus images based on retinal lesion detection [PDF]

arXiv, 2021
Diabetic retinopathy (DR) is the result of a complication of diabetes affecting the retina. It can cause blindness, if left undiagnosed and untreated. An ophthalmologist performs the diagnosis by screening each patient and analyzing the retinal lesions via ocular imaging. In practice, such analysis is time-consuming and cumbersome to perform.
arxiv  

EBOV-RNA test with RT-PCR in ocular fluids of Ebola survivors can help to safely perform cataract surgery [PDF]

, 2018
Since the Ebola virus (EBOV) was discovered in 1976, the recent 2014−2016 Ebola virus disease (EVD) outbreak in West Africa was the largest with 28,600 cases and about 11,300 deaths.
Iozzo, Nicola, Spadea, Leopoldo
core   +1 more source

The Effect of Ocular Melanin Density on Human Vision

Biomedical and Clinical Research, 2022
Background: Without discussing the effect of ocular melanin density on vision, let us make the logical assumption that since melanin is a protective factor for the eye, its lower density causes more sunlight to damage vision cells. The question is not how the melanin density of the eye affects vision, but how the melanin density of the eye affects ...
openaire   +1 more source

Tin‐Based 2D/3D Perovskite Vertical Heterojunction for High‐Performance Synaptic Phototransistors

Advanced Functional Materials, EarlyView.
Phototransistors based on tin‐based 2D/3D perovskite heterostructures show an ultrahigh responsivity and detectivity at a low gate voltage across a broad wavelength region from ultraviolet to near‐infrared. The devices can replicate neuromorphic learning and remembering behaviors to light stimuli, in addition to electric depression and memory erasure ...
Hok‐Leung Loi, Tianyue Wang, Dapeng Liu, Jiupeng Cao, Jing Zhuang, Zeyu Zhao, Yang Xu, Mitch Guijun Li, Liang Li, Tianyou Zhai, Feng Yan   +10 more
wiley   +1 more source

Machine learning methods to identify risk factors for corneal graft rejection in keratoconus

Scientific Reports
Machine learning can be used to identify risk factors associated with graft rejection after corneal transplantation for keratoconus. The study included all keratoconus eyes that underwent primary corneal transplantation from 1994 to 2021.
Sepehr Feizi, Mohammad Ali Javadi, Kia Bayat, Mohammadreza Arzaghi, Amir Rahdar, Mohammad Javad Ahmadi   +5 more
doaj   +1 more source

A pinhole implant to correct postoperative residual refractive error in an RK cataract patient

American Journal of Ophthalmology Case Reports, 2020
Purpose: To report the clinical outcomes after implantation of a pinhole supplementary implant (Xtrafocus, Morcher GmbH, Stuttgart, Germany) to correct fluctuating residual refraction after cataract surgery in a patient with a history of radial ...
Hyeck-Soo Son, Ramin Khoramnia, Christian Mayer, Grzegorz Labuz, Timur M. Yildirim, Gerd U. Auffarth   +5 more
doaj  

ORCNet: A context-based network to simultaneously segment the ocular region components [PDF]

arXiv, 2022
Accurate extraction of the Region of Interest is critical for successful ocular region-based biometrics. In this direction, we propose a new context-based segmentation approach, entitled Ocular Region Context Network (ORCNet), introducing a specific loss function, i.e., he Punish Context Loss (PC-Loss). The PC-Loss punishes the segmentation losses of a
arxiv  

Visual Function Questionnaire as an outcome measure for homonymous hemianopia: subscales and supplementary questions, analysis from the VISION trial [PDF]

, 2019
Background: We conduct supplementary analyses of the NEI VFQ-25 data to evaluate where changes occurred within subscales of the NEI VFQ-25 leading to change in the composite scores between the three treatment arms, and evaluate the NEI VFQ-25 with and ...
Bedson, Emma, Conroy, Elizabeth J, Dodridge, Caroline, Drummond, Avril, Garcia-Finana, Marta, Hepworth, Lauren R, Howard, Claire, Johnson, Stevie, Noonan, Carmel, Pollock, Alex, Rainford, Naomi EA, Rowe, Fiona J, Sackley, Catherine, Shipman, Tracey   +13 more
core   +2 more sources

Ocular problems of computer vision syndrome: Review

Journal of Mahatma Gandhi Institute of Medical Sciences, 2015
Nowadays, ophthalmologists are facing a new group of patients having eye problems related to prolonged and excessive computer use. When the demand for near work exceeds the normal ability of the eye to perform the job comfortably, one develops discomfort and prolonged exposure, which leads to a cascade of reactions that can be put together as computer ...
Siddharam S. Janti, Metheen Adnan, Charanya Chendilnathan, Ayakutty Muni Raja   +3 more
openaire   +3 more sources

Recent Advances in the Design of Topical Ophthalmic Delivery Systems in the Treatment of Ocular Surface Inflammation and Their Biopharmaceutical Evaluation

Pharmaceutics, 2020
Ocular inflammation is one of the most common symptom of eye disorders and diseases. The therapeutic management of this inflammation must be rapid and effective in order to avoid deleterious effects for the eye and the vision.
R. Mazet, J. Yaméogo, D. Wouessidjewe, L. Choisnard, A. Géze   +4 more
semanticscholar   +1 more source