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Improving spatial resolution and diagnostic confidence with thinner slice and deep learning image reconstruction in contrast-enhanced abdominal CT.
Cao, Le; Liu, Xiang; Qu, Tingting; Cheng, Yannan; Li, Jianying; Li, Yanan; Chen, Lihong; Niu, Xinyi; Tian, Qian; Guo, Jianxin.
Affiliation
  • Cao L; Department of Radiology, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, 710061, Shaanxi Province, People's Republic of China.
  • Liu X; Department of Radiology, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, 710061, Shaanxi Province, People's Republic of China.
  • Qu T; Department of Radiology, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, 710061, Shaanxi Province, People's Republic of China.
  • Cheng Y; Department of Radiology, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, 710061, Shaanxi Province, People's Republic of China.
  • Li J; CT Research Center, GE Healthcare China, Beijing, 100176, China.
  • Li Y; Department of Radiology, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, 710061, Shaanxi Province, People's Republic of China.
  • Chen L; Department of Radiology, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, 710061, Shaanxi Province, People's Republic of China.
  • Niu X; Department of Radiology, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, 710061, Shaanxi Province, People's Republic of China.
  • Tian Q; Department of Radiology, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, 710061, Shaanxi Province, People's Republic of China.
  • Guo J; Department of Radiology, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, 710061, Shaanxi Province, People's Republic of China. gjx1665@xjtufh.edu.cn.
Eur Radiol ; 33(3): 1603-1611, 2023 Mar.
Article in En | MEDLINE | ID: mdl-36190531
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Deep Learning Type of study: Diagnostic_studies Limits: Humans Language: En Journal: Eur Radiol Journal subject: RADIOLOGIA Year: 2023 Document type: Article Country of publication:
Fulltext
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Deep Learning Type of study: Diagnostic_studies Limits: Humans Language: En Journal: Eur Radiol Journal subject: RADIOLOGIA Year: 2023 Document type: Article Country of publication: