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CT Image Sequence Restoration Based on Sparse and Low-Rank Decomposition
Blurry organ boundaries and soft tissue structures present a major challenge in biomedical image restoration. In this paper, we propose a low-rank decomposition-based method for computed tomography (CT) image sequence restoration, where the CT image sequence is decomposed into a sparse component and...
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| Main Authors: | , , , , , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Public Library of Science
2013
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC3762821/ https://ncbi.nlm.nih.gov/pubmed/24023764 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pone.0072696 |
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