QCBCT-NET for direct measurement of bone mineral density from quantitative cone-beam CT: a human skull phantom study

The purpose of this study was to directly and quantitatively measure BMD from Cone-beam CT (CBCT) images by enhancing the linearity and uniformity of the bone intensities based on a hybrid deep-learning model (QCBCT-NET) of combining the generative adversarial network (Cycle-GAN) and U-Net, and to c...

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Detalles Bibliográficos
Autores principales: Yong, Tae-Hoon, Yang, Su, Lee, Sang-Jeong, Park, Chansoo, Kim, Jo-Eun, Huh, Kyung-Hoe, Lee, Sam-Sun, Heo, Min-Suk, Yi, Won-Jin
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/PMC8302740/
https://www.ncbi.nlm.nih.gov/pubmed/34301984
http://dx.doi.org/10.1038/s41598-021-94359-2

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8302740/
https://www.ncbi.nlm.nih.gov/pubmed/34301984
http://dx.doi.org/10.1038/s41598-021-94359-2

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