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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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| Pubblicato in: | Biomed Opt Express |
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| Autori principali: | , , , , , , , |
| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
Optical Society of America
2017
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| Soggetti: | |
| Accesso online: | 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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