Liver segmentation from CT images using a sparse priori statistical shape model (SP-SSM)

This study proposes a new liver segmentation method based on a sparse a priori statistical shape model (SP-SSM). First, mark points are selected in the liver a priori model and the original image. Then, the a priori shape and its mark points are used to obtain a dictionary for the liver boundary inf...

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Detalles Bibliográficos
Autores principales: Wang, Xuehu, Zheng, Yongchang, Gan, Lan, Wang, Xuan, Sang, Xinting, Kong, Xiangfeng, Zhao, Jie
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2017
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5628825/
https://www.ncbi.nlm.nih.gov/pubmed/28981530
http://dx.doi.org/10.1371/journal.pone.0185249

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5628825/
https://www.ncbi.nlm.nih.gov/pubmed/28981530
http://dx.doi.org/10.1371/journal.pone.0185249

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