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Automated detection of the contrast phase in MDCT by an artificial neural network improves the accuracy of opportunistic bone mineral density measurements.
Rühling, Sebastian; Navarro, Fernando; Sekuboyina, Anjany; El Husseini, Malek; Baum, Thomas; Menze, Bjoern; Braren, Rickmer; Zimmer, Claus; Kirschke, Jan S.
Afiliação
  • Rühling S; Department of Neuroradiology, School of Medicine, Klinikum rechts der Isar, Technical University of Munich, Ismaninger Str 22, 81675, Munich, Germany.
  • Navarro F; Department of Neuroradiology, School of Medicine, Klinikum rechts der Isar, Technical University of Munich, Ismaninger Str 22, 81675, Munich, Germany.
  • Sekuboyina A; Department of Informatics, Technical University of Munich, Munich, Germany.
  • El Husseini M; Center for Translational Cancer Research (TranslaTUM), Klinikum rechts der Isar, Munich, Germany.
  • Baum T; Department of Radio Oncology and Radiation Therapy, Klinikum rechts der Isar, Munich, Germany.
  • Menze B; Department of Neuroradiology, School of Medicine, Klinikum rechts der Isar, Technical University of Munich, Ismaninger Str 22, 81675, Munich, Germany.
  • Braren R; Department of Informatics, Technical University of Munich, Munich, Germany.
  • Zimmer C; Department of Quantitative Biomedicine, University of Zurich, Zurich, Switzerland.
  • Kirschke JS; Department of Neuroradiology, School of Medicine, Klinikum rechts der Isar, Technical University of Munich, Ismaninger Str 22, 81675, Munich, Germany.
Eur Radiol ; 32(3): 1465-1474, 2022 Mar.
Article em En | MEDLINE | ID: mdl-34687347
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Osteoporose / Densidade Óssea Tipo de estudo: Diagnostic_studies / Observational_studies / Prognostic_studies Limite: Female / Humans Idioma: En Ano de publicação: 2022 Tipo de documento: Article
Texto completo
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XML
PubMed Links
Buscar no Google

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Osteoporose / Densidade Óssea Tipo de estudo: Diagnostic_studies / Observational_studies / Prognostic_studies Limite: Female / Humans Idioma: En Ano de publicação: 2022 Tipo de documento: Article