Deep learning versus human graders for classifying diabetic retinopathy severity in a nationwide screening program (Q91869678)

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25 April 2020

title

Deep learning versus human graders for classifying diabetic retinopathy severity in a nationwide screening program (English)

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Jeffrey Tan

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Greg S Corrado

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Lily Peng

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25 April 2020

author name string

Paisan Raumviboonsuk

1

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Jonathan Krause

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Peranut Chotcomwongse

3

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Rory Sayres

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Rajiv Raman

5

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Kasumi Widner

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Bilson J L Campana

7

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Sonia Phene

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Kornwipa Hemarat

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Sukhum Silpa-Archa

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Jirawut Limwattanayingyong

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Chetan Rao

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Oscar Kuruvilla

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Jesse Jung

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Surapong Orprayoon

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Chawawat Kangwanwongpaisan

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Ramase Sukumalpaiboon

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Chainarong Luengchaichawang

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Jitumporn Fuangkaew

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Pipat Kongsap

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Lamyong Chualinpha

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Sarawuth Saree

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Srirut Kawinpanitan

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Korntip Mitvongsa

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Siriporn Lawanasakol

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Chaiyasit Thepchatri

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Lalita Wongpichedchai

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Dale R Webster

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publication date

10 April 2019

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language of work or name

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volume

2

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page(s)

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Creative Commons Attribution 4.0 International

25 April 2020

copyright license

start time

10 April 2019

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April 2022 Public Data File from Crossref

copyright status

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cites work

Saving sight in China and beyond: the Lifeline Express model

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Guidelines on Diabetic Eye Care

23 February 2021

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Grader Variability and the Importance of Reference Standards for Evaluating Machine Learning Models for Diabetic Retinopathy

23 February 2021

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Development and Validation of a Deep Learning System for Diabetic Retinopathy and Related Eye Diseases Using Retinal Images From Multiethnic Populations With Diabetes

23 February 2021

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Screening Intervals for Diabetic Retinopathy and Implications for Care

23 February 2021

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Development and Validation of a Deep Learning Algorithm for Detection of Diabetic Retinopathy in Retinal Fundus Photographs

23 February 2021

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Cost-effectiveness of a National Telemedicine Diabetic Retinopathy Screening Program in Singapore

23 February 2021

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Comparison of Prevalence of Diabetic Macular Edema Based on Monocular Fundus Photography vs Optical Coherence Tomography

23 February 2021

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Assessment of diabetic teleretinal imaging program at the Portland Department of Veterans Affairs Medical Center

23 February 2021

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The First Rapid Assessment of Avoidable Blindness (RAAB) in Thailand

23 February 2021

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Quality assurance in diabetic retinal screening in South Africa

23 February 2021

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Telehealth practice recommendations for diabetic retinopathy, second edition.

23 February 2021

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Optical coherence tomography (OCT) for detection of macular oedema in patients with diabetic retinopathy

23 February 2021

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The prevalence of diabetic retinopathy in Trang province determined by retinal photography and comprehensive eye examination

23 February 2021

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A telemedicine program for diabetic retinopathy in a Veterans Affairs Medical Center--the Joslin Vision Network Eye Health Care Model

23 February 2021

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Developing a screening program to detect sight-threatening diabetic retinopathy in South India

23 February 2021

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A national screening programme for diabetic retinopathy. Needs to learn the lessons of existing screening programmes

23 February 2021

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A screening approach to the surveillance of patients with diabetes for the presence of vision-threatening retinopathy

23 February 2021

1 reference

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10.1038/S41746-019-0099-8

23 February 2021

Identifiers

DOI

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25 April 2020

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25 April 2020

PubMed publication ID

31304372

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