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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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| Publicado no: | PLoS One |
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| Main Authors: | , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Public Library of Science
2016
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4913904/ https://ncbi.nlm.nih.gov/pubmed/27322421 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pone.0157694 |
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