Identifier |
20220213_nanos_posters_233 |
Title |
Clinicians are Outperformed by a Deep Learning System When Identifying Optic Disc Lesions |
Creator |
Dan Milea, Caroline Vasseneix, Simon Nusinovici, Xinxing Xu, Jeong-Min Hwang, Steffen Hamann, John Chen, Jing Liang Loo, Leonard Milea, Kenneth Boon Kiat Tan, Daniel Shu Wei Ting, Yong Liu, Nancy Newman, Valerie Biousse, Tien Yin Wong, Raymond Najjar, on behalf of the BONSAI Consortium |
Subject |
High Intracranial Pressure/headache; Optic Neuropathy; Pseudotumor Cerebri; Vascular Disorders |
Description |
Detection of optic disc abnormalities using ophthalmoscopy is a difficult task for non-ophthalmologists. We recently developed a deep learning system (BONSAI-DLS) to accurately classify optic discs on digital fundus photographs. The aim of this study was to compare the performance of the BONSAI-DLS to that of clinicians with or without ophthalmic training for the classification of optic discs. |
Date |
2022-02 |
Language |
eng |
Format |
application/pdf |
Type |
Text |
Source |
2022 North American Neuro-Ophthalmology Society Annual Meeting |
Relation is Part of |
NANOS Annual Meeting 2022: Poster Session I: New Diagnostic Measurement Techniques |
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 2022. For further information regarding the rights to this collection, please visit: https://NOVEL.utah.edu/about/copyright |
ARK |
ark:/87278/s617h988 |
Context URL |
The NANOS Annual Meeting Neuro-Ophthalmology Collection: https://novel.utah.edu/collection/NAM/toc/ |
Contributor Primary |
Dan Milea |
Contributor Secondary |
Caroline Vasseneix, Simon Nusinovici, Xinxing Xu, Jeong-Min Hwang, Steffen Hamann, John Chen, Jing Liang Loo, Leonard Milea, Kenneth Boon Kiat Tan, Daniel Shu Wei Ting, Yong Liu, Nancy Newman, Valerie Biousse, Tien Yin Wong, Raymond Najjar, on behalf of the BONSAI Consortium |
Setname |
ehsl_novel_nam |
ID |
2065051 |
Reference URL |
https://collections.lib.utah.edu/ark:/87278/s617h988 |