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

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

10.1212/WNL.0000000000012226

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Bibliographic Details
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
Subjects:	Science & Technology Life Sciences & Biomedicine Clinical Neurology Neurosciences & Neurology IDIOPATHIC INTRACRANIAL HYPERTENSION OPTICAL COHERENCE TOMOGRAPHY VISUAL-LOSS CEREBRI FEASIBILITY CAMERA RISK
Online Access:	https://scholarbank.nus.edu.sg/handle/10635/210599
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Institution:	National University of Singapore
Language:	English

Description
Summary:	10.1212/WNL.0000000000012226