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Abdominopelvic CT Image Quality: Evaluation of Thin (0.5-mm) Slices Using Deep Learning Reconstruction.
Oostveen, Luuk J; Smit, Ewoud J; Dekker, Helena M; Buckens, Constantinus F; Pegge, Sjoert A H; de Lange, Frank; Sechopoulos, Ioannis; Prokop, Mathias.
Affiliation
  • Oostveen LJ; Department of Medical Imaging, Radboud University Medical Center, PO Box 9101 (Rte 766), 6500 HB, Nijmegen, The Netherlands.
  • Smit EJ; Department of Medical Imaging, Radboud University Medical Center, PO Box 9101 (Rte 766), 6500 HB, Nijmegen, The Netherlands.
  • Dekker HM; Department of Medical Imaging, Radboud University Medical Center, PO Box 9101 (Rte 766), 6500 HB, Nijmegen, The Netherlands.
  • Buckens CF; Department of Medical Imaging, Radboud University Medical Center, PO Box 9101 (Rte 766), 6500 HB, Nijmegen, The Netherlands.
  • Pegge SAH; Department of Medical Imaging, Radboud University Medical Center, PO Box 9101 (Rte 766), 6500 HB, Nijmegen, The Netherlands.
  • de Lange F; Department of Medical Imaging, Radboud University Medical Center, PO Box 9101 (Rte 766), 6500 HB, Nijmegen, The Netherlands.
  • Sechopoulos I; Department of Medical Imaging, Radboud University Medical Center, PO Box 9101 (Rte 766), 6500 HB, Nijmegen, The Netherlands.
  • Prokop M; Multi-Modality Medical Imaging (M3I) Group, Technical Medical Center, University of Twente, Enschede, The Netherlands.
AJR Am J Roentgenol ; 220(3): 381-388, 2023 03.
Article in En | MEDLINE | ID: mdl-36259592

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Deep Learning Type of study: Observational_studies Limits: Female / Humans / Male / Middle aged Language: En Journal: AJR Am J Roentgenol Year: 2023 Document type: Article Affiliation country: Netherlands

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Deep Learning Type of study: Observational_studies Limits: Female / Humans / Male / Middle aged Language: En Journal: AJR Am J Roentgenol Year: 2023 Document type: Article Affiliation country: Netherlands