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A Coupled Level Set Framework for Bladder Wall Segmentation with Application to MR Cystography
In this paper, we propose a coupled level set (LS) framework for segmentation of bladder wall using T(1)-weighted magnetic resonance (MR) images with clinical applications to virtual cystoscopy (i.e., MR cystography). The framework uses two collaborative LS functions and a regional adaptive clusteri...
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| Main Authors: | , , , , , , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
2010
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC2894540/ https://ncbi.nlm.nih.gov/pubmed/20199924 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1109/TMI.2009.2039756 |
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