Artificial Intelligence for Detection and Classification of Abnormal Optic Discs on Fundus Photographs

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: NANOS Annual Meeting Collection: https://novel.utah.edu/collection/nanos-annual-meeting-collection/
Publisher	North American Neuro-Ophthalmology Society
Holding Institution	Spencer S. Eccles Health Sciences Library, University of Utah
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