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Automated algorithm for breast tissue differentiation in optical coherence tomography

An automated algorithm for differentiating breast tissue types based on optical coherence tomography (OCT) data is presented. Eight parameters are derived from the OCT reflectivity profiles and their means and covariance matrices are calculated for each tissue type from a training set (48 samples) s...

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Detalles Bibliográficos
Main Authors: Mujat, Mircea, Ferguson, R. Daniel, Hammer, Daniel X., Gittins, Christopher, Iftimia, Nicusor
Formato: Artigo
Idioma:Inglês
Publicado: 2009
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Acceso en liña:https://ncbi.nlm.nih.gov/pmc/articles/PMC2990885/
https://ncbi.nlm.nih.gov/pubmed/19566332
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1117/1.3156821
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