Prediction of trabecular bone architectural features by deep learning models using simulated DXA images

Dual-energy X-ray absorptiometry (DXA) is widely used for clinical assessment of bone mineral density (BMD). Recent evidence shows that DXA images may also contain microstructural information of trabecular bones. However, no current image processing techniques could aptly extract the information. In...

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Detalles Bibliográficos
Autores principales: Xiao, Pengwei, Zhang, Tinghe, Dong, Xuanliang Neil, Han, Yan, Huang, Yufei, Wang, Xiaodu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7363649/
https://www.ncbi.nlm.nih.gov/pubmed/32695850
http://dx.doi.org/10.1016/j.bonr.2020.100295

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7363649/
https://www.ncbi.nlm.nih.gov/pubmed/32695850
http://dx.doi.org/10.1016/j.bonr.2020.100295

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