Accuracy of a Deep Learning System for Classification of Papilledema Severity on Ocular Fundus Photographs
10.1212/WNL.0000000000012226
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LIPPINCOTT WILLIAMS & WILKINS
2021
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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 |
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Science & Technology Life Sciences & Biomedicine Clinical Neurology Neurosciences & Neurology IDIOPATHIC INTRACRANIAL HYPERTENSION OPTICAL COHERENCE TOMOGRAPHY VISUAL-LOSS CEREBRI FEASIBILITY CAMERA RISK |
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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 |
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10.1212/WNL.0000000000012226 |
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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 |
_version_ |
1781792895611699200 |