QCBCT-NET for direct measurement of bone mineral density from quantitative cone-beam CT: a human skull phantom study
Abstract 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,...
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Autores principales: | Tae-Hoon Yong, Su Yang, Sang-Jeong Lee, Chansoo Park, Jo-Eun Kim, Kyung-Hoe Huh, Sam-Sun Lee, Min-Suk Heo, Won-Jin Yi |
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Formato: | article |
Lenguaje: | EN |
Publicado: |
Nature Portfolio
2021
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Materias: | |
Acceso en línea: | https://doaj.org/article/aa130d6308e447d8b687bc06bba75fce |
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