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A deep unsupervised learning framework for the 4D CBCT artifact correction.
Dong, Guoya; Zhang, Chenglong; Deng, Lei; Zhu, Yulin; Dai, Jingjing; Song, Liming; Meng, Ruoyan; Niu, Tianye; Liang, Xiaokun; Xie, Yaoqin.
Afiliação
  • Dong G; State Key Laboratory of Reliability and Intelligence of Electrical Equipment, Hebei University of Technology, Tianjin, 300130, People's Republic of China.
  • Zhang C; Hebei Key Laboratory of Bioelectromagnetics and Neural Engineering, Hebei University of Technology, Tianjin, 300130, People's Republic of China.
  • Deng L; State Key Laboratory of Reliability and Intelligence of Electrical Equipment, Hebei University of Technology, Tianjin, 300130, People's Republic of China.
  • Zhu Y; Hebei Key Laboratory of Bioelectromagnetics and Neural Engineering, Hebei University of Technology, Tianjin, 300130, People's Republic of China.
  • Dai J; Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, 518055, Guangdong, People's Republic of China.
  • Song L; Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, 518055, Guangdong, People's Republic of China.
  • Meng R; Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, 518055, Guangdong, People's Republic of China.
  • Niu T; State Key Laboratory of Reliability and Intelligence of Electrical Equipment, Hebei University of Technology, Tianjin, 300130, People's Republic of China.
  • Liang X; Hebei Key Laboratory of Bioelectromagnetics and Neural Engineering, Hebei University of Technology, Tianjin, 300130, People's Republic of China.
  • Xie Y; Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, 518055, Guangdong, People's Republic of China.
Phys Med Biol ; 67(5)2022 03 03.
Article em En | MEDLINE | ID: mdl-35172290
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Artefatos / Tomografia Computadorizada de Feixe Cônico Espiral Tipo de estudo: Prognostic_studies Idioma: En Ano de publicação: 2022 Tipo de documento: Article
Texto completo
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XML
PubMed Links
Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Artefatos / Tomografia Computadorizada de Feixe Cônico Espiral Tipo de estudo: Prognostic_studies Idioma: En Ano de publicação: 2022 Tipo de documento: Article