Identifier |
20210222_nanos_posters_143 |
Title |
Applying Neural Networks to Macular OCTA to Differentiate LHON Vasculature from Normal Vasculature |
Creator |
William Sultan, Giulia Amore, Kashif Iqbal, Samuel Asanad, Rustum Karanji, Alfredo Sadun |
Subject |
Diagnostic Tests (ERG, VER, OCT, HRT, mfERG, etc); Retina; Orbit/Ocular Pathology |
Description |
Neural networks have the capacity to recognize patterns in data that are typically too complex for a human to make a determination. Using artificial intelligence, we are gaining the ability to discern the presence of optic neuropathy related mitochondrial disease using data based on the vasculature architecture in the retina. |
Date |
2021-02 |
Language |
eng |
Format |
application/pdf |
Type |
Text |
Source |
2021 North American Neuro-Ophthalmology Society Annual Meeting |
Relation is Part of |
NANOS Annual Meeting 2021: Poster Session III: 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 2021. For further information regarding the rights to this collection, please visit: https://NOVEL.utah.edu/about/copyright |
ARK |
ark:/87278/s6x40t6w |
Context URL |
The NANOS Annual Meeting Neuro-Ophthalmology Collection: https://novel.utah.edu/collection/NAM/toc/ |
Contributor Primary |
William Sultan |
Contributor Secondary |
Giulia Amore, Kashif Iqbal, Samuel Asanad, Rustum Karanji, Alfredo Sadun |
Setname |
ehsl_novel_nam |
ID |
1675933 |
Reference URL |
https://collections.lib.utah.edu/ark:/87278/s6x40t6w |