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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Detalles Bibliográficos
Autores principales: Wang, Xuehu, Yang, Jian, Ai, Danni, Zheng, Yongchang, Tang, Songyuan, Wang, Yongtian
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2015
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4358832/
https://www.ncbi.nlm.nih.gov/pubmed/25769030
http://dx.doi.org/10.1371/journal.pone.0118064

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4358832/
https://www.ncbi.nlm.nih.gov/pubmed/25769030
http://dx.doi.org/10.1371/journal.pone.0118064

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