Cargando…
Validation of bone mineral density measurement using quantitative CBCT image based on deep learning
The bone mineral density (BMD) measurement is a direct method of estimating human bone mass for diagnosing osteoporosis, and performed to objectively evaluate bone quality before implant surgery in dental clinics. The objective of this study was to validate the accuracy and reliability of BMD measur...
Autores principales: | Park, Chan-Soo, Kang, Se-Ryong, Kim, Jo-Eun, Huh, Kyung-Hoe, Lee, Sam-Sun, Heo, Min-Suk, Han, Jeong-Joon, Yi, Won-Jin |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10366160/ https://www.ncbi.nlm.nih.gov/pubmed/37488135 http://dx.doi.org/10.1038/s41598-023-38943-8 |
Ejemplares similares
-
Comparison of 2D, 2.5D, and 3D segmentation networks for maxillary sinuses and lesions in CBCT images
por: Yoo, Yeon-Sun, et al.
Publicado: (2023) -
QCBCT-NET for direct measurement of bone mineral density from quantitative cone-beam CT: a human skull phantom study
por: Yong, Tae-Hoon, et al.
Publicado: (2021) -
Canal-Net for automatic and robust 3D segmentation of mandibular canals in CBCT images using a continuity-aware contextual network
por: Jeoun, Bo-Soung, et al.
Publicado: (2022) -
Author Correction: Canal-Net for automatic and robust 3D segmentation of mandibular canals in CBCT images using a continuity-aware contextual network
por: Jeoun, Bo-Soung, et al.
Publicado: (2022) -
Automatic detection of teeth and dental treatment patterns on dental panoramic radiographs using deep neural networks
por: Choi, Hye-Ran, et al.
Publicado: (2022)