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,...
Main Authors: | 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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Format: | Article |
Language: | English |
Published: |
Nature Portfolio
2021-07-01
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Series: | Scientific Reports |
Online Access: | https://doi.org/10.1038/s41598-021-94359-2 |
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