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Automatic detection of the foveal center in optical coherence tomography

We propose a method for automatic detection of the foveal center in optical coherence tomography (OCT). The method is based on a pixel-wise classification of all pixels in an OCT volume using a fully convolutional neural network (CNN) with dilated convolution filters. The CNN-architecture contains a...

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Detalhes bibliográficos
Publicado no:Biomed Opt Express
Main Authors: Liefers, Bart, Venhuizen, Freerk G., Schreur, Vivian, van Ginneken, Bram, Hoyng, Carel, Fauser, Sascha, Theelen, Thomas, Sánchez, Clara I.
Formato: Artigo
Idioma:Inglês
Publicado em: Optical Society of America 2017
Assuntos:
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC5695961/
https://ncbi.nlm.nih.gov/pubmed/29188111
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1364/BOE.8.005160
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