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Dual-scale similarity-guided cycle generative adversarial network for unsupervised low-dose CT denoising.
Zhao, Feixiang; Liu, Mingzhe; Gao, Zhihong; Jiang, Xin; Wang, Ruili; Zhang, Lejun.
Affiliation
  • Zhao F; College of Nuclear Technology and Automation Engineering, Chengdu University of Technology, Chengdu, 610000, China. Electronic address: zhaofeixiang@cdut.edu.cn.
  • Liu M; College of Nuclear Technology and Automation Engineering, Chengdu University of Technology, Chengdu, 610000, China; School of Data Science and Artificial Intelligence, Wenzhou University of Technology, Wenzhou, 325000, China. Electronic address: liumz@cdut.edu.cn.
  • Gao Z; Department of Big Data in Health Science, First Affiliated Hospital of Wenzhou Medical University, Wenzhou, 325000, China. Electronic address: gzh@wzhospital.cn.
  • Jiang X; School of Data Science and Artificial Intelligence, Wenzhou University of Technology, Wenzhou, 325000, China. Electronic address: jiangxin@cqut.edu.cn.
  • Wang R; School of Mathematical and Computational Science, Massey University, Auckland, 0632, New Zealand. Electronic address: ruili.wang@massey.ac.nz.
  • Zhang L; Cyberspace Institute of Advanced Technology, Guangzhou University, Guangzhou, 510006, China; College of Information Engineering, Yangzhou University, Yangzhou, 225127, China. Electronic address: zhanglejun@yzu.edu.cn.
Comput Biol Med ; 161: 107029, 2023 07.
Article in En | MEDLINE | ID: mdl-37230021
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Image Processing, Computer-Assisted / Tomography, X-Ray Computed Language: En Journal: Comput Biol Med Year: 2023 Document type: Article Country of publication: United States
Fulltext
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PubMed Links
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Image Processing, Computer-Assisted / Tomography, X-Ray Computed Language: En Journal: Comput Biol Med Year: 2023 Document type: Article Country of publication: United States