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Structured Learning for 3D Perivascular Spaces Segmentation Using Vascular Features
OBJECTIVE: The goal of this paper is to automatically segment perivascular spaces (PVSs) in brain from high-resolution 7T MR images. METHODS: We propose a structured-learning-based segmentation framework to extract the PVSs from high-resolution 7T MR images. Specifically, we integrate three types of...
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| Publicado no: | IEEE Trans Biomed Eng |
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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/PMC5749233/ https://ncbi.nlm.nih.gov/pubmed/28362579 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1109/TBME.2016.2638918 |
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