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

• 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
• Institution: National University of Singapore

10.1212/WNL.0000000000012226