OCT Signal Enhancement with Deep Learning

To establish whether deep learning methods are able to improve the signal-to-noise ratio of time-domain (TD) OCT images to approach that of spectral-domain (SD) OCT images. Method agreement study and progression detection in a randomized, double-masked, placebo-controlled, multicenter trial for open...

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Veröffentlicht in:	Ophthalmology. Glaucoma 2021-05, Vol.4 (3), p.295-304
Hauptverfasser:	Lazaridis, Georgios, Lorenzi, Marco, Mohamed-Noriega, Jibran, Aguilar-Munoa, Soledad, Suzuki, Katsuyoshi, Nomoto, Hiroki, Ourselin, Sebastien, Garway-Heath, David F., Crabb, David P., Bunce, Catey, Amalfitano, Francesca, Anand, Nitin, Azuara-Blanco, Augusto, Bourne, Rupert R., Broadway, David C., Cunliffe, Ian A., Diamond, Jeremy P., Fraser, Scott G., Ho, Tuan A., Martin, Keith R., McNaught, Andrew I., Negi, Anil, Shah, Ameet, Spry, Paul G., White, Edward T., Wormald, Richard P., Xing, Wen, Zeyen, Thierry G.
Format:	Artikel
Sprache:	eng
Schlagworte:	Computer Science Deep learning Glaucoma Image analysis Medical Imaging OCT Visual fields
Online-Zugang:	Volltext
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