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Adaptive Mesh Expansion Model (AMEM) for Liver Segmentation from CT Image
This study proposes a novel adaptive mesh expansion model (AMEM) for liver segmentation from computed tomography images. The virtual deformable simplex model (DSM) is introduced to represent the mesh, in which the motion of each vertex can be easily manipulated. The balloon, edge, and gradient force...
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| Veröffentlicht in: | PLoS One |
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| Hauptverfasser: | , , , , , |
| Format: | Artigo |
| Sprache: | Inglês |
| Veröffentlicht: |
Public Library of Science
2015
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| Schlagworte: | |
| Online Zugang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4358832/ https://ncbi.nlm.nih.gov/pubmed/25769030 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pone.0118064 |
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