Quantitative analysis of mandibular cortical morphology using artificial intelligence-based computer assisted diagnosis for panoramic radiography on underlying diseases and dental status in women over 20 years of age.
- DOI
- 10.1016/j.jds.2023.07.030
- Published
- 2024 Apr
- Container
- Journal of dental sciences
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.1016/j.jds.2023.07.030,
title = {Quantitative analysis of mandibular cortical morphology using artificial intelligence-based computer assisted diagnosis for panoramic radiography on underlying diseases and dental status in women over 20 years of age.},
author = {Ogawa R and Ogura I},
year = {2024},
journal = {Journal of dental sciences},
doi = {10.1016/j.jds.2023.07.030},
url = {https://doi.org/10.1016/j.jds.2023.07.030}
}RIS
TY - JOUR TI - Quantitative analysis of mandibular cortical morphology using artificial intelligence-based computer assisted diagnosis for panoramic radiography on underlying diseases and dental status in women over 20 years of age. AU - Ogawa R AU - Ogura I PY - 2024 JO - Journal of dental sciences DO - 10.1016/j.jds.2023.07.030 UR - https://doi.org/10.1016/j.jds.2023.07.030 ER -
APA
R, O., & I, O. (2024). Quantitative analysis of mandibular cortical morphology using artificial intelligence-based computer assisted diagnosis for panoramic radiography on underlying diseases and dental status in women over 20 years of age.. Journal of dental sciences. https://doi.org/10.1016/j.jds.2023.07.030
Source records
- pubmed · retrieved 2026-09-25T01:26:31.729Z