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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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| Autori principali: | , , , , |
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| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
2009
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| Soggetti: | |
| Accesso online: | 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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