Accuracy of a Deep Learning System for Classification of Papilledema Severity on Ocular Fundus Photographs

10.1212/WNL.0000000000012226

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Main Authors: Vasseneix, Caroline, Najjar, Raymond P, Xu, Xinxing, Tang, Zhiqun, Loo, Jing Liang, Singhal, Shweta, Tow, Sharon, Milea, Leonard, Ting, Daniel Shu Wei, Liu, Yong, Wong, Tien Y, Newman, Nancy J, Biousse, Valerie, Milea, Dan
Other Authors: DUKE-NUS OFFICE OF ACAD & CLINICAL DEVT
Format: Article
Language:English
Published: LIPPINCOTT WILLIAMS & WILKINS 2021
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Online Access:https://scholarbank.nus.edu.sg/handle/10635/210599
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Institution: National University of Singapore
Language: English
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spelling sg-nus-scholar.10635-2105992023-11-01T08:58:42Z Accuracy of a Deep Learning System for Classification of Papilledema Severity on Ocular Fundus Photographs Vasseneix, Caroline Najjar, Raymond P Xu, Xinxing Tang, Zhiqun Loo, Jing Liang Singhal, Shweta Tow, Sharon Milea, Leonard Ting, Daniel Shu Wei Liu, Yong Wong, Tien Y Newman, Nancy J Biousse, Valerie Milea, Dan DUKE-NUS OFFICE OF ACAD & CLINICAL DEVT Science & Technology Life Sciences & Biomedicine Clinical Neurology Neurosciences & Neurology IDIOPATHIC INTRACRANIAL HYPERTENSION OPTICAL COHERENCE TOMOGRAPHY VISUAL-LOSS CEREBRI FEASIBILITY CAMERA RISK 10.1212/WNL.0000000000012226 NEUROLOGY 97 4 E369-E377 2021-12-15T08:45:49Z 2021-12-15T08:45:49Z 2021-07-27 2021-12-15T07:48:05Z Article Vasseneix, Caroline, Najjar, Raymond P, Xu, Xinxing, Tang, Zhiqun, Loo, Jing Liang, Singhal, Shweta, Tow, Sharon, Milea, Leonard, Ting, Daniel Shu Wei, Liu, Yong, Wong, Tien Y, Newman, Nancy J, Biousse, Valerie, Milea, Dan (2021-07-27). Accuracy of a Deep Learning System for Classification of Papilledema Severity on Ocular Fundus Photographs. NEUROLOGY 97 (4) : E369-E377. ScholarBank@NUS Repository. https://doi.org/10.1212/WNL.0000000000012226 00283878 1526632X https://scholarbank.nus.edu.sg/handle/10635/210599 en LIPPINCOTT WILLIAMS & WILKINS Elements
institution National University of Singapore
building NUS Library
continent Asia
country Singapore
Singapore
content_provider NUS Library
collection ScholarBank@NUS
language English
topic Science & Technology
Life Sciences & Biomedicine
Clinical Neurology
Neurosciences & Neurology
IDIOPATHIC INTRACRANIAL HYPERTENSION
OPTICAL COHERENCE TOMOGRAPHY
VISUAL-LOSS
CEREBRI
FEASIBILITY
CAMERA
RISK
spellingShingle Science & Technology
Life Sciences & Biomedicine
Clinical Neurology
Neurosciences & Neurology
IDIOPATHIC INTRACRANIAL HYPERTENSION
OPTICAL COHERENCE TOMOGRAPHY
VISUAL-LOSS
CEREBRI
FEASIBILITY
CAMERA
RISK
Vasseneix, Caroline
Najjar, Raymond P
Xu, Xinxing
Tang, Zhiqun
Loo, Jing Liang
Singhal, Shweta
Tow, Sharon
Milea, Leonard
Ting, Daniel Shu Wei
Liu, Yong
Wong, Tien Y
Newman, Nancy J
Biousse, Valerie
Milea, Dan
Accuracy of a Deep Learning System for Classification of Papilledema Severity on Ocular Fundus Photographs
description 10.1212/WNL.0000000000012226
author2 DUKE-NUS OFFICE OF ACAD & CLINICAL DEVT
author_facet DUKE-NUS OFFICE OF ACAD & CLINICAL DEVT
Vasseneix, Caroline
Najjar, Raymond P
Xu, Xinxing
Tang, Zhiqun
Loo, Jing Liang
Singhal, Shweta
Tow, Sharon
Milea, Leonard
Ting, Daniel Shu Wei
Liu, Yong
Wong, Tien Y
Newman, Nancy J
Biousse, Valerie
Milea, Dan
format Article
author Vasseneix, Caroline
Najjar, Raymond P
Xu, Xinxing
Tang, Zhiqun
Loo, Jing Liang
Singhal, Shweta
Tow, Sharon
Milea, Leonard
Ting, Daniel Shu Wei
Liu, Yong
Wong, Tien Y
Newman, Nancy J
Biousse, Valerie
Milea, Dan
author_sort Vasseneix, Caroline
title Accuracy of a Deep Learning System for Classification of Papilledema Severity on Ocular Fundus Photographs
title_short Accuracy of a Deep Learning System for Classification of Papilledema Severity on Ocular Fundus Photographs
title_full Accuracy of a Deep Learning System for Classification of Papilledema Severity on Ocular Fundus Photographs
title_fullStr Accuracy of a Deep Learning System for Classification of Papilledema Severity on Ocular Fundus Photographs
title_full_unstemmed Accuracy of a Deep Learning System for Classification of Papilledema Severity on Ocular Fundus Photographs
title_sort accuracy of a deep learning system for classification of papilledema severity on ocular fundus photographs
publisher LIPPINCOTT WILLIAMS & WILKINS
publishDate 2021
url https://scholarbank.nus.edu.sg/handle/10635/210599
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