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Development and validation of a fully automated system using deep learning for opportunistic osteoporosis screening using low-dose computed tomography scans.
Niu, Xinyi; Huang, Yilin; Li, Xinyu; Yan, Wenming; Lu, Xuanyu; Jia, Xiaoqian; Li, Jianying; Hu, Jieliang; Sun, Tianze; Jing, Wenfeng; Guo, Jianxin.
Affiliation
  • Niu X; Department of Radiology, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China.
  • Huang Y; School of Mathematics and Statistics, Xi'an Jiaotong University, Xi'an, China.
  • Li X; Department of Radiology, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China.
  • Yan W; School of Mathematics and Statistics, Xi'an Jiaotong University, Xi'an, China.
  • Lu X; Department of Radiology, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China.
  • Jia X; Department of Radiology, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China.
  • Li J; GE HealthCare China, Computed Tomography Research Center, Beijing, China.
  • Hu J; Department of Radiology, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China.
  • Sun T; Department of Radiology, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China.
  • Jing W; School of Mathematics and Statistics, Xi'an Jiaotong University, Xi'an, China.
  • Guo J; Department of Radiology, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China.
Quant Imaging Med Surg ; 13(8): 5294-5305, 2023 Aug 01.
Article in En | MEDLINE | ID: mdl-37581046

Full text: 1 Collection: 01-internacional Database: MEDLINE Type of study: Diagnostic_studies / Observational_studies / Prognostic_studies / Screening_studies Language: En Journal: Quant Imaging Med Surg Year: 2023 Document type: Article Affiliation country: China Country of publication: China

Full text: 1 Collection: 01-internacional Database: MEDLINE Type of study: Diagnostic_studies / Observational_studies / Prognostic_studies / Screening_studies Language: En Journal: Quant Imaging Med Surg Year: 2023 Document type: Article Affiliation country: China Country of publication: China