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Improved cancer detection in automated breast ultrasound by radiologists using Computer Aided Detection.
van Zelst, J C M; Tan, T; Platel, B; de Jong, M; Steenbakkers, A; Mourits, M; Grivegnee, A; Borelli, C; Karssemeijer, N; Mann, R M.
Afiliação
  • van Zelst JCM; Radboud University Medical Center, Department of Radiology and Nuclear Medicine, Nijmegen, The Netherlands. Electronic address: Jan.vanZelst@radboudumc.nl.
  • Tan T; Radboud University Medical Center, Department of Radiology and Nuclear Medicine, Nijmegen, The Netherlands.
  • Platel B; Radboud University Medical Center, Department of Radiology and Nuclear Medicine, Nijmegen, The Netherlands.
  • de Jong M; Jeroen Bosch Medical Centre, Department of Radiology, 's-Hertogenbosch, The Netherlands.
  • Steenbakkers A; Radboud University Medical Center, Department of Radiology and Nuclear Medicine, Nijmegen, The Netherlands.
  • Mourits M; Jeroen Bosch Medical Centre, Department of Radiology, 's-Hertogenbosch, The Netherlands.
  • Grivegnee A; Jules Bordet Institute, Department of Radiology, Brussels, Belgium.
  • Borelli C; Catholic University of the Sacred Heart, Department of Radiological Sciences, Rome, Italy.
  • Karssemeijer N; Radboud University Medical Center, Department of Radiology and Nuclear Medicine, Nijmegen, The Netherlands.
  • Mann RM; Radboud University Medical Center, Department of Radiology and Nuclear Medicine, Nijmegen, The Netherlands.
Eur J Radiol ; 89: 54-59, 2017 Apr.
Article em En | MEDLINE | ID: mdl-28267549
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Neoplasias da Mama / Ultrassonografia Mamária / Diagnóstico por Computador Tipo de estudo: Diagnostic_studies / Prognostic_studies Limite: Adult / Female / Humans / Middle aged Idioma: En Ano de publicação: 2017 Tipo de documento: Article
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Neoplasias da Mama / Ultrassonografia Mamária / Diagnóstico por Computador Tipo de estudo: Diagnostic_studies / Prognostic_studies Limite: Adult / Female / Humans / Middle aged Idioma: En Ano de publicação: 2017 Tipo de documento: Article