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Segmentation of Thalamus from MR images via Task-Driven Dictionary Learning
Automatic thalamus segmentation is useful to track changes in thalamic volume over time. In this work, we introduce a task-driven dictionary learning framework to find the optimal dictionary given a set of eleven features obtained from T1-weighted MRI and diffusion tensor imaging. In this dictionary...
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| Publicado no: | Proc SPIE Int Soc Opt Eng |
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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/PMC5010870/ https://ncbi.nlm.nih.gov/pubmed/27601772 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1117/12.2214206 |
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