An Automatic Segmentation and Classification Framework Based on PCNN Model for Single Tooth in MicroCT Images

Accurate segmentation and classification of different anatomical structures of teeth from medical images plays an essential role in many clinical applications. Usually, the anatomical structures of teeth are manually labelled by experienced clinical doctors, which is time consuming. However, automat...

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Detalles Bibliográficos
Autores principales: Wang, Liansheng, Li, Shusheng, Chen, Rongzhen, Liu, Sze-Yu, Chen, Jyh-Cheng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2016
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4913904/
https://www.ncbi.nlm.nih.gov/pubmed/27322421
http://dx.doi.org/10.1371/journal.pone.0157694

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4913904/
https://www.ncbi.nlm.nih.gov/pubmed/27322421
http://dx.doi.org/10.1371/journal.pone.0157694

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