A fidelity‐embedded learning for metal artifact reduction in dental CBCT
Author:
Affiliation:
1. National Institute for Mathematical Sciences Daejeon South Korea
2. School of Mathematics and Computing (Computational Science and Engineering) Yonsei University Seoul South Korea
3. Software Division HDXWILL Seoul South Korea
Funder
Korea Health Industry Development Institute
Ministry of Science and ICT, South Korea
Publisher
Wiley
Subject
General Medicine
Link
https://onlinelibrary.wiley.com/doi/pdf/10.1002/mp.15720
Reference50 articles.
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