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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Detalles Bibliográficos
Autores principales: Kim, Young Hyun, Shin, Jin Young, Lee, Ari, Park, Seungtae, Han, Sang-Sun, Hwang, Hyung Ju
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8295413/
https://www.ncbi.nlm.nih.gov/pubmed/34290333
http://dx.doi.org/10.1038/s41598-021-94362-7

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8295413/
https://www.ncbi.nlm.nih.gov/pubmed/34290333
http://dx.doi.org/10.1038/s41598-021-94362-7

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