| 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 |
| Affiliation |
(WS) (AS) Doheny Eye Institute, Pasadena, California; (GA) IRCCS Istituto delle Scienze Neurologiche di Bologna, Bologna, Italy; (KI) University of California, Riverside, California; (SA) University of Maryland, Baltimore, Maryland; (RK) University of Ottawa Eye Institute, Ottawa, Canada |
| Subject |
Neuroimaging; Genetic Disease; Pediatric Neuro-ophthalmology; Tumors; Optic Neuropathy |
| 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: 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 2021. For further information regarding the rights to this collection, please visit: https://NOVEL.utah.edu/about/copyright |
| ARK |
ark:/87278/s6x40t6w |
| Setname |
ehsl_novel_nam |
| ID |
1675933 |
| Reference URL |
https://collections.lib.utah.edu/ark:/87278/s6x40t6w |
