Artificial Intelligence for Detection and Classification of Abnormal Optic Discs on Fundus Photographs
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Identifier
20190319_nanos_sciplatform2_06-video
Title
Artificial Intelligence for Detection and Classification of Abnormal Optic Discs on Fundus Photographs
Creator
Dan Milea, MD, PhD
Affiliation
Singapore Eye Research Institute, Singapore
Subject
Optic Neuropathy; High Intracranial Pressure/Headache; Pseudotumor Cerebri; Diagnostic Tests (ERG, VER, OCT, HRT, mfERG, etc); Eyelid & Adnexal Disease; Miscellaneous
Description
The aim of this study was to assess the performance of artificial intelligence, using a deep learning algorithm, for automated detection and classification of abnormal optic nerve heads, based on colour fundus photographs.
Date
2019-03
Language
eng
Format
video/mp4
Type
Image/MovingImage
Source
2019 North American Neuro-Ophthalmology Society Annual Meeting
Relation is Part of
NANOS 2019: Scientific Platform II
Collection
Neuro-ophthalmology Virtual Education Library: NOVEL http://NOVEL.utah.edu
Publisher
Spencer S. Eccles Health Sciences Library, University of Utah
Holding Institution
North American Neuro-Ophthalmology Association. NANOS Executive Office 5841 Cedar Lake Road, Suite 204, Minneapolis, MN 55416
Rights Management
Copyright 2019. For further information regarding the rights to this collection, please visit: https://NOVEL.utah.edu/about/copyright
ARK
ark:/87278/s61c6d36
Context URL
The NANOS Annual Meeting Neuro-Ophthalmology Collection: https://novel.utah.edu/collection/NAM/toc/
Setname
ehsl_novel_nam
ID
1427517
Reference URL
https://collections.lib.utah.edu/ark:/87278/s61c6d36
