Development and validation of a deep‐learning algorithm for the detection of neovascular age‐related macular degeneration from colour fundus photographs

Importance Detection of early onset neovascular age‐related macular degeneration (AMD) is critical to protecting vision. Background To describe the development and validation of a deep‐learning algorithm (DLA) for the detection of neovascular age‐related macular degeneration. Design Development and...

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Veröffentlicht in:	Clinical & experimental ophthalmology Jg. 47; H. 8; S. 1009 - 1018
Hauptverfasser:	Keel, Stuart, Li, Zhixi, Scheetz, Jane, Robman, Liubov, Phung, James, Makeyeva, Galina, Aung, KhinZaw, Liu, Chi, Yan, Xixi, Meng, Wei, Guymer, Robyn, Chang, Robert, He, Mingguang
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Melbourne John Wiley & Sons Australia, Ltd 01.11.2019 Wiley Subscription Services, Inc
Schlagworte:	Age age‐related macular degeneration Algorithms Datasets Deep learning deep‐learning algorithm Macular degeneration Retina retinal‐imaging age-related macular degeneration deep-learning algorithm retinal-imaging
ISSN:	1442-6404, 1442-9071, 1442-9071
Online-Zugang:	Volltext
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