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Automated segmentation by pixel classification of retinal layers in ophthalmic OCT images

Current OCT devices provide three-dimensional (3D) in-vivo images of the human retina. The resulting very large data sets are difficult to manually assess. Automated segmentation is required to automatically process the data and produce images that are clinically useful and easy to interpret. In thi...

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Bibliografische gegevens
Hoofdauteurs: Vermeer, K. A., van der Schoot, J., Lemij, H. G., de Boer, J. F.
Formaat: Artigo
Taal:Inglês
Gepubliceerd in: Optical Society of America 2011
Onderwerpen:
Online toegang:https://ncbi.nlm.nih.gov/pmc/articles/PMC3114239/
https://ncbi.nlm.nih.gov/pubmed/21698034
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1364/BOE.2.001743
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