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Deep learning based spectral CT imaging.
Wu, Weiwen; Hu, Dianlin; Niu, Chuang; Broeke, Lieza Vanden; Butler, Anthony P H; Cao, Peng; Atlas, James; Chernoglazov, Alexander; Vardhanabhuti, Varut; Wang, Ge.
Afiliação
  • Wu W; Department of Diagnostic Radiology, Queen Mary Hospital, University of Hong Kong, Hong Kong, People's Republic of China; Biomedical Imaging Center, Center for Biotechnology and Interdisciplinary Studies, Department of Biomedical Engineering, School of Engineering, Rensselaer Polytechnic Institute, T
  • Hu D; The Laboratory of Image Science and Technology, Southeast University, Nanjing, People's Republic of China.
  • Niu C; Biomedical Imaging Center, Center for Biotechnology and Interdisciplinary Studies, Department of Biomedical Engineering, School of Engineering, Rensselaer Polytechnic Institute, Troy, NY, USA.
  • Broeke LV; Department of Diagnostic Radiology, Queen Mary Hospital, University of Hong Kong, Hong Kong, People's Republic of China.
  • Butler APH; Department of Radiology, University of Otago, Christchurch, New Zealand.
  • Cao P; Department of Diagnostic Radiology, Queen Mary Hospital, University of Hong Kong, Hong Kong, People's Republic of China.
  • Atlas J; Department of Radiology, University of Otago, Christchurch, New Zealand.
  • Chernoglazov A; Department of Radiology, University of Otago, Christchurch, New Zealand.
  • Vardhanabhuti V; Department of Diagnostic Radiology, Queen Mary Hospital, University of Hong Kong, Hong Kong, People's Republic of China. Electronic address: varv@hku.hk.
  • Wang G; Biomedical Imaging Center, Center for Biotechnology and Interdisciplinary Studies, Department of Biomedical Engineering, School of Engineering, Rensselaer Polytechnic Institute, Troy, NY, USA.
Neural Netw ; 144: 342-358, 2021 Dec.
Article em En | MEDLINE | ID: mdl-34560584

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Qualitative_research Idioma: En Ano de publicação: 2021 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Qualitative_research Idioma: En Ano de publicação: 2021 Tipo de documento: Article