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Virtual and real-world implementation of deep-learning-based image denoising model on projection domain in digital tomosynthesis and cone-beam computed tomography data

Crossref DOI link: https://doi.org/10.1088/2057-1976/ac997d

Published Online: 2022-10-21

Published Print: 2022-11-01

Update policy: https://doi.org/10.1088/crossmark-policy

Authors

Jin, David Shih-Chun https://orcid.org/0000-0002-7546-1245
Chang, Li-Sheng

Wang, Yu-Hong

Chen, Jyh-Cheng https://orcid.org/0000-0003-3619-1358
Tseng, Snow H https://orcid.org/0000-0003-1743-801X
Liu, Tse-Ying https://orcid.org/0000-0002-1425-420X
Funding

Funding for this research was provided by:

Ministry of Science and Technology, Taiwan (MOST 109-2221-E-010-019-MY2 and MOST 110-2221-E-010-019-MY2)
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Text and Data Mining valid from 2022-10-21
More Information

Article Title: Virtual and real-world implementation of deep-learning-based image denoising model on projection domain in digital tomosynthesis and cone-beam computed tomography data

Journal Title: Biomedical Physics & Engineering Express

Article Type: paper

Copyright Information: © 2022 IOP Publishing Ltd

Publication dates

Date Received: 2022-07-28

Date Accepted: 2022-10-12

Online publication date: 2022-10-21

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