Automatic liver segmentation based on appearance and context information

BACKGROUND: Automated image segmentation has benefits for reducing clinicians’ workload, quicker diagnosis, and a standardization of the diagnosis. METHODS: This study proposes an automatic liver segmentation approach based on appearance and context information. The relationship between neighboring...

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Detalles Bibliográficos
Autores principales: Zheng, Yongchang, Ai, Danni, Mu, Jinrong, Cong, Weijian, Wang, Xuan, Zhao, Haitao, Yang, Jian
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2017
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5237528/
https://www.ncbi.nlm.nih.gov/pubmed/28088195
http://dx.doi.org/10.1186/s12938-016-0296-5

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5237528/
https://www.ncbi.nlm.nih.gov/pubmed/28088195
http://dx.doi.org/10.1186/s12938-016-0296-5

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