Two-field non-mydriatic fundus photography for diabetic retinopathy screening: a protocol for a systematic review and meta-analysis

QR Code

Two-field non-mydriatic fundus photography for diabetic retinopathy screening: a protocol for a systematic review and meta-analysis

Saved in:

Bibliographic Details
Main Authors:	Qi Li, Bo Zhou, Jiao Chen, Zijing Wu, Ying Lu, Ying Deng, Xiaojun Wu, Dongjing Yu, Xiaoyan Dou, Baikang Ye, Xiaohe Tian, Xinglin Hu, Lisha Mou, Zuhui Pu
Format:	article
Language:	EN
Published:	BMJ Publishing Group 2021
Subjects:	Medicine R
Online Access:	https://doaj.org/article/7f40698a58f84b709c0394e756beff3b
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Procedures of Establishing a Well-annotated Database of Color Fundus Photography of Diabetic Retinopathy for Artificial Intelligence Research
by: YU Weihong, et al.
Published: (2021)

Systemic adverse events after screening of retinopathy of prematurity with mydriatic.
by: Shumpei Obata, et al.
Published: (2021)

Significance of the disc damage likelihood scale objectively measured by a non-mydriatic fundus camera in preperimetric glaucoma
by: Pahlitzsch M, et al.
Published: (2015)

TREND database: Retinal images of healthy young subjects visualized by a portable digital non-mydriatic fundus camera.
by: Natasa Popovic, et al.
Published: (2021)

Assessment of patient specific information in the wild on fundus photography and optical coherence tomography
by: Marion R. Munk, et al.
Published: (2021)

Ultrawide-field fundus photography of the first reported case of gyrate atrophy from Australia
by: Moloney TP, et al.
Published: (2014)

An ensemble framework based on Deep CNNs architecture for glaucoma classification using fundus photography
by: Aziz-ur-Rehman, et al.
Published: (2021)

Undilated versus dilated monoscopic smartphone-based fundus photography for optic nerve head evaluation
by: Maximilian W. M. Wintergerst, et al.
Published: (2018)

Telemedicine for diabetic retinopathy screening using an ultra-widefield fundus camera
by: Hussain N, et al.
Published: (2017)

Predicting intraocular pressure using systemic variables or fundus photography with deep learning in a health examination cohort
by: Kaori Ishii, et al.
Published: (2021)

Deep Learning Fundus Image Analysis for Diabetic Retinopathy and Macular Edema Grading
by: Jaakko Sahlsten, et al.
Published: (2019)

An interpretable multiple-instance approach for the detection of referable diabetic retinopathy in fundus images
by: Alexandros Papadopoulos, et al.
Published: (2021)

Digital image processing software for diagnosing diabetic retinopathy from fundus photograph
by: Ratanapakorn T, et al.
Published: (2019)

Assessment of automated disease detection in diabetic retinopathy screening using two-field photography.
by: Keith Goatman, et al.
Published: (2011)

Early detection of diabetic retinopathy based on deep learning and ultra-wide-field fundus images
by: Kangrok Oh, et al.
Published: (2021)

Macular Ganglion Cell-Inner Plexiform Layer Thickness Prediction from Red-free Fundus Photography using Hybrid Deep Learning Model
by: Jinho Lee, et al.
Published: (2020)

Systemic exposure to intracameral vs topical mydriatic agents: in cataract surgery
by: Guell J, et al.
Published: (2019)

Deep learning for gradability classification of handheld, non-mydriatic retinal images
by: Paul Nderitu, et al.
Published: (2021)

Photographies

Quality and learning curve of handheld versus stand-alone non-mydriatic cameras
by: Gosheva M, et al.
Published: (2017)

Evaluation of cone function by a handheld non-mydriatic flicker electroretinogram device
by: Nakamura N, et al.
Published: (2016)

Modern photography
Published: (1989)

Photography & culture
Published: (2008)

Popular Photography

The business of photography
by: Cavallo, Robert M, et al.
Published: (1981)

History of photography

The Evolution of Diabetic Retinopathy Screening Programmes: A Chronology of Retinal Photography from 35 mm Slides to Artificial Intelligence
by: Huemer J, et al.
Published: (2020)

The reading of components of diabetic retinopathy: an evolutionary approach for filtering normal digital fundus imaging in screening and population based studies.
by: Hongying Lilian Tang, et al.
Published: (2013)

2D alpha-shapes to quantify retinal microvasculature morphology and their application to proliferative diabetic retinopathy characterisation in fundus photographs
by: Emma Pead, et al.
Published: (2021)

Diagnosis of Diabetic Retinopathy through Retinal Fundus Images and 3D Convolutional Neural Networks with Limited Number of Samples
by: Ahsan Bin Tufail, et al.
Published: (2021)

Popular Photography (00324582)

Popular Photography & Imaging

New Zealand Journal of Photography

Fundus autofluorescence in premature infants
by: Guillermo Salcedo-Villanueva, et al.
Published: (2021)

The use of historical photography in environmental studies
by: Peter Collier, et al.
Published: (2001)

Fundus autofluorescence features in the inflammatory maculopathies
by: Lee CS, et al.
Published: (2014)

Application of OCT in the research of amblyopic fundus
by: Yuan Ma, et al.
Published: (2021)

Supplementation with a highly concentrated docosahexaenoic acid plus xanthophyll carotenoid multivitamin in nonproliferative diabetic retinopathy: prospective controlled study of macular function by fundus microperimetry
by: Rodríguez González-Herrero ME, et al.
Published: (2018)

Agreement on Grading Retinal Findings of Patients with Diabetes Using Fundus Photographs by Allied Medical Personnel when Compared to an Ophthalmologist at a Diabetic Retinopathy Screening Program in Nepal
by: Thapa R, et al.
Published: (2020)

Lürzer's Archive Special Advertising Photography 1
Published: (1998)