Automated three-dimensional choroidal vessel segmentation of 3D 1060 nm OCT retinal data

A fully automated, robust vessel segmentation algorithm has been developed for choroidal OCT, employing multiscale 3D edge filtering and projection of “probability cones” to determine the vessel “core”, even in the tomograms with low signal-to-noise ratio (SNR). Based on the ideal vessel response af...

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Detalhes bibliográficos
Main Authors: Kajić, Vedran, Esmaeelpour, Marieh, Glittenberg, Carl, Kraus, Martin F., Honegger, Joachim, Othara, Richu, Binder, Susanne, Fujimoto, James G., Drexler, Wolfgang
Formato: Artigo
Idioma:Inglês
Publicado em: Optical Society of America 2012
Assuntos:
Image Processing
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC3539191/
https://ncbi.nlm.nih.gov/pubmed/23304653
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1364/BOE.4.000134
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