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Quantitative characterization of human breast tissue based on deep learning segmentation of 3D optical coherence tomography images
In this study, we performed dual-modality optical coherence tomography (OCT) characterization (volumetric OCT imaging and quantitative optical coherence elastography) on human breast tissue specimens. We trained and validated a U-Net for automatic image segmentation. Our results demonstrated that U-...
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| Publicado no: | Biomed Opt Express |
|---|---|
| Main Authors: | , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Optical Society of America
2021
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC8176808/ https://ncbi.nlm.nih.gov/pubmed/34123494 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1364/BOE.423224 |
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