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Compound feature attention network with edge enhancement for low-dose CT denoising.
Wang, Shubin; Liu, Yi; Zhang, Pengcheng; Chen, Ping; Li, Zhiyuan; Yan, Rongbiao; Li, Shu; Hou, Ruifeng; Gui, Zhiguo.
Affiliation
  • Wang S; State Key Laboratory of Dynamic Testing Technology, School of Information and Communication Engineering, North University of China, Taiyuan Shanxi Province, China.
  • Liu Y; State Key Laboratory of Dynamic Testing Technology, School of Information and Communication Engineering, North University of China, Taiyuan Shanxi Province, China.
  • Zhang P; State Key Laboratory of Dynamic Testing Technology, School of Information and Communication Engineering, North University of China, Taiyuan Shanxi Province, China.
  • Chen P; State Key Laboratory of Dynamic Testing Technology, School of Information and Communication Engineering, North University of China, Taiyuan Shanxi Province, China.
  • Li Z; State Key Laboratory of Dynamic Testing Technology, School of Information and Communication Engineering, North University of China, Taiyuan Shanxi Province, China.
  • Yan R; State Key Laboratory of Dynamic Testing Technology, School of Information and Communication Engineering, North University of China, Taiyuan Shanxi Province, China.
  • Li S; State Key Laboratory of Dynamic Testing Technology, School of Information and Communication Engineering, North University of China, Taiyuan Shanxi Province, China.
  • Hou R; State Key Laboratory of Dynamic Testing Technology, School of Information and Communication Engineering, North University of China, Taiyuan Shanxi Province, China.
  • Gui Z; State Key Laboratory of Dynamic Testing Technology, School of Information and Communication Engineering, North University of China, Taiyuan Shanxi Province, China.
J Xray Sci Technol ; 31(5): 915-933, 2023.
Article in En | MEDLINE | ID: mdl-37355934
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Algorithms / Tomography, X-Ray Computed Language: En Journal: J Xray Sci Technol Journal subject: RADIOLOGIA Year: 2023 Type: Article Affiliation country: China
Fulltext
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Algorithms / Tomography, X-Ray Computed Language: En Journal: J Xray Sci Technol Journal subject: RADIOLOGIA Year: 2023 Type: Article Affiliation country: China