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Feasibility of a deep learning algorithm to achieve the low-dose 68Ga-FAPI/the fast-scan PET images: a multicenter study.
Liu, Lin; Chen, Xingyu; Wan, Liwen; Zhang, Na; Hu, Ruibao; Li, Wenbo; Liu, Shengping; Zhu, Yan; Pang, Hua; Liang, Dong; Chen, Yue; Hu, Zhanli.
Afiliação
  • Liu L; Department of Nuclear Medicine, The Affiliated Hospital of Southwest Medical University, Luzhou, China.
  • Chen X; Nuclear Medicine and Molecular Imaging Key Laboratory of Sichuan Province, Luzhou, China.
  • Wan L; Institute of Nuclear Medicine, Southwest Medical University, Luzhou, China.
  • Zhang N; Lauterbur Research Center for Biomedical Imaging, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China.
  • Hu R; Chongqing University of Technology, Chongqing, China.
  • Li W; Lauterbur Research Center for Biomedical Imaging, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China.
  • Liu S; Lauterbur Research Center for Biomedical Imaging, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China.
  • Zhu Y; United Imaging Research Institute of Innovative Medical Equipment, Shenzhen, China.
  • Pang H; Lauterbur Research Center for Biomedical Imaging, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China.
  • Liang D; Department of Nuclear Medicine, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China.
  • Chen Y; Chongqing University of Technology, Chongqing, China.
  • Hu Z; Department of Nuclear Medicine, The Affiliated Hospital of Southwest Medical University, Luzhou, China.
Br J Radiol ; 96(1149): 20230038, 2023 Sep.
Article em En | MEDLINE | ID: mdl-37393527
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Aprendizado Profundo / Radioisótopos de Gálio Tipo de estudo: Clinical_trials / Prognostic_studies Limite: Humans Idioma: En Ano de publicação: 2023 Tipo de documento: Article
Texto completo
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Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Aprendizado Profundo / Radioisótopos de Gálio Tipo de estudo: Clinical_trials / Prognostic_studies Limite: Humans Idioma: En Ano de publicação: 2023 Tipo de documento: Article