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Single fiber OCT imager for breast tissue classification based on deep learning
We investigated a deep learning strategy to analyze optical coherence tomography image for accurate tissue characterization based on a single fiber OCT probe. We obtained OCT data from human breast tissue specimens. Using OCT data obtained from adipose breast tissue (normal tissue) and diseased tiss...
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| Publicado en: | Proc SPIE Int Soc Opt Eng |
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| Autores principales: | , , |
| Formato: | Artigo |
| Lenguaje: | Inglês |
| Publicado: |
2020
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| Materias: | |
| Acceso en línea: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7359871/ https://ncbi.nlm.nih.gov/pubmed/32665745 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1117/12.2547015 |
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