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Combining deep learning with anatomy analysis for segmentation of portal vein for liver SBRT planning
Automated segmentation of portal vein (PV) for liver radiotherapy planning is a challenging task due to potentially low vasculature contrast, complex PV anatomy and image artifacts originated from fiducial markers and vasculature stents. In this paper, we propose a novel framework for automated PV s...
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| Publicado no: | Phys Med Biol |
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| Main Authors: | , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
2017
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5739057/ https://ncbi.nlm.nih.gov/pubmed/28994665 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1088/1361-6560/aa9262 |
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