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Cardiac CT motion artifact grading via semi-automatic labeling and vessel tracking using synthetic image-augmented training data.
Xu, Yongshun; Sushmit, Asif; Lyu, Qing; Li, Ying; Cao, Ximiao; Maltz, Jonathan S; Wang, Ge; Yu, Hengyong.
Afiliação
  • Xu Y; Department of Electrical and Computer Engineering, University of Massachusetts Lowell, Lowell, MA, USA.
  • Sushmit A; Department of Biomedical Engineering, Rensselaer Polytechnic Institute, Troy, NY, USA.
  • Lyu Q; Department of Biomedical Engineering, Rensselaer Polytechnic Institute, Troy, NY, USA.
  • Li Y; Molecular Imaging and Computed Tomography, GE Healthcare, 3000 N Grandview Boulevard, Waukesha, WI, USA.
  • Cao X; Molecular Imaging and Computed Tomography, GE Healthcare, 3000 N Grandview Boulevard, Waukesha, WI, USA.
  • Maltz JS; Molecular Imaging and Computed Tomography, GE Healthcare, 3000 N Grandview Boulevard, Waukesha, WI, USA.
  • Wang G; Molecular Biophysics and Integrated Bioimaging, Lawrence Berkeley National Laboratory, University of California, Berkeley, CA, USA.
  • Yu H; Department of Biomedical Engineering, Rensselaer Polytechnic Institute, Troy, NY, USA.
J Xray Sci Technol ; 30(3): 433-445, 2022.
Article em En | MEDLINE | ID: mdl-35342075
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Tomografia Computadorizada por Raios X / Artefatos Tipo de estudo: Prognostic_studies Limite: Humans Idioma: En Ano de publicação: 2022 Tipo de documento: Article
Texto completo
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Tomografia Computadorizada por Raios X / Artefatos Tipo de estudo: Prognostic_studies Limite: Humans Idioma: En Ano de publicação: 2022 Tipo de documento: Article