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Automated cortical thickness measurement of the mandibular condyle head on CBCT images using a deep learning method
This study proposes a deep learning model for cortical bone segmentation in the mandibular condyle head using cone-beam computed tomography (CBCT) and an automated method for measuring cortical thickness with a color display based on the segmentation results. In total, 12,800 CBCT images from 25 nor...
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| Publicado no: | Sci Rep |
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| Main Authors: | , , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Nature Publishing Group UK
2021
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC8295413/ https://ncbi.nlm.nih.gov/pubmed/34290333 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1038/s41598-021-94362-7 |
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