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Segmentation of Perivascular Spaces Using Vascular Features and Structured Random Forest from 7T MR Image
Quantitative analysis of perivascular spaces (PVSs) is important to reveal the correlations between cerebrovascular lesions and neurodegenerative diseases. In this study, we propose a learning-based segmentation framework to extract the PVSs from high-resolution 7T MR images. Specifically, we integr...
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| Publicado no: | Mach Learn Med Imaging |
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| Main Authors: | , , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
2016
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5464599/ https://ncbi.nlm.nih.gov/pubmed/28603789 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1007/978-3-319-47157-0_8 |
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