| Identifier |
20190319_nanos_sciplatform2_06_slides |
| 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 |
application/pdf |
| Format Creation |
Microsoft PowerPoint |
| Type |
Text |
| 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/s6xh4bvx |
| Setname |
ehsl_novel_nam |
| ID |
1453743 |
| Reference URL |
https://collections.lib.utah.edu/ark:/87278/s6xh4bvx |
