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Image Quality Assessment of Abdominal CT by Use of New Deep Learning Image Reconstruction: Initial Experience.
Jensen, Corey T; Liu, Xinming; Tamm, Eric P; Chandler, Adam G; Sun, Jia; Morani, Ajaykumar C; Javadi, Sanaz; Wagner-Bartak, Nicolaus A.
Afiliação
  • Jensen CT; Department of Abdominal Imaging, University of Texas MD Anderson Cancer Center, 1400 Pressler St, Unit 1473, Houston, TX 77030-4009.
  • Liu X; Department of Imaging Physics, University of Texas MD Anderson Cancer Center, Houston, TX.
  • Tamm EP; Department of Abdominal Imaging, University of Texas MD Anderson Cancer Center, 1400 Pressler St, Unit 1473, Houston, TX 77030-4009.
  • Chandler AG; Department of Imaging Physics, University of Texas MD Anderson Cancer Center, Houston, TX.
  • Sun J; Department of Biostatistics, University of Texas MD Anderson Cancer Center, Houston, TX.
  • Morani AC; Department of Abdominal Imaging, University of Texas MD Anderson Cancer Center, 1400 Pressler St, Unit 1473, Houston, TX 77030-4009.
  • Javadi S; Department of Abdominal Imaging, University of Texas MD Anderson Cancer Center, 1400 Pressler St, Unit 1473, Houston, TX 77030-4009.
  • Wagner-Bartak NA; Department of Abdominal Imaging, University of Texas MD Anderson Cancer Center, 1400 Pressler St, Unit 1473, Houston, TX 77030-4009.
AJR Am J Roentgenol ; 215(1): 50-57, 2020 07.
Article em En | MEDLINE | ID: mdl-32286872

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Neoplasias Torácicas / Radiografia Abdominal / Interpretação de Imagem Radiográfica Assistida por Computador / Tomografia Computadorizada por Raios X / Neoplasias do Sistema Digestório / Aprendizado Profundo Tipo de estudo: Observational_studies / Prognostic_studies / Qualitative_research / Risk_factors_studies Limite: Adult / Aged / Aged80 / Female / Humans / Male / Middle aged Idioma: En Revista: AJR Am J Roentgenol Ano de publicação: 2020 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Neoplasias Torácicas / Radiografia Abdominal / Interpretação de Imagem Radiográfica Assistida por Computador / Tomografia Computadorizada por Raios X / Neoplasias do Sistema Digestório / Aprendizado Profundo Tipo de estudo: Observational_studies / Prognostic_studies / Qualitative_research / Risk_factors_studies Limite: Adult / Aged / Aged80 / Female / Humans / Male / Middle aged Idioma: En Revista: AJR Am J Roentgenol Ano de publicação: 2020 Tipo de documento: Article