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A deep learning algorithm using CT images to screen for Corona virus disease (COVID-19).
Wang, Shuai; Kang, Bo; Ma, Jinlu; Zeng, Xianjun; Xiao, Mingming; Guo, Jia; Cai, Mengjiao; Yang, Jingyi; Li, Yaodong; Meng, Xiangfei; Xu, Bo.
Affiliation
  • Wang S; Department of Biochemistry and Molecular Biology, National Clinical Research Center for Cancer, Key Laboratory of Cancer Prevention and Therapy, Key Laboratory of Breast Cancer Prevention and Therapy, Ministry of Education, Tianjin Clinical Research Center for Cancer, Tianjin Medical University Canc
  • Kang B; Department of Hepatobiliary Oncology, Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer, Tianjin, 300060, China.
  • Ma J; College of Intelligence and Computing, Tianjin University, Tianjin, 300350, China.
  • Zeng X; National Supercomputer Center in Tianjin, Tianjin, 300457, China.
  • Xiao M; Department of Radiation Oncology, First Affiliated Hospital, Xi'an Jiaotong University, Xi'an, China.
  • Guo J; Department of Radiology, Nanchang University First Hospital, Nanchang, China.
  • Cai M; Department of Biochemistry and Molecular Biology, National Clinical Research Center for Cancer, Key Laboratory of Cancer Prevention and Therapy, Key Laboratory of Breast Cancer Prevention and Therapy, Ministry of Education, Tianjin Clinical Research Center for Cancer, Tianjin Medical University Canc
  • Yang J; National Supercomputer Center in Tianjin, Tianjin, 300457, China.
  • Li Y; Department of Radiation Oncology, First Affiliated Hospital, Xi'an Jiaotong University, Xi'an, China.
  • Meng X; Department of Radiation Oncology, First Affiliated Hospital, Xi'an Jiaotong University, Xi'an, China.
  • Xu B; Department of Radiology, No.8 Hospital, Xi'an Medical College, Xi'an, China.
Eur Radiol ; 31(8): 6096-6104, 2021 Aug.
Article in En | MEDLINE | ID: mdl-33629156
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Full text: 1 Database: MEDLINE Main subject: Deep Learning / COVID-19 Type of study: Prognostic_studies Limits: Humans Language: En Journal: Eur Radiol Journal subject: RADIOLOGIA Year: 2021 Type: Article
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Full text: 1 Database: MEDLINE Main subject: Deep Learning / COVID-19 Type of study: Prognostic_studies Limits: Humans Language: En Journal: Eur Radiol Journal subject: RADIOLOGIA Year: 2021 Type: Article