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Segmentation of Peripheral Nerves From Magnetic Resonance Neurography: A Fully-Automatic, Deep Learning-Based Approach.
Balsiger, Fabian; Steindel, Carolin; Arn, Mirjam; Wagner, Benedikt; Grunder, Lorenz; El-Koussy, Marwan; Valenzuela, Waldo; Reyes, Mauricio; Scheidegger, Olivier.
Afiliação
  • Balsiger F; Institute for Surgical Technology and Biomechanics, University of Bern, Bern, Switzerland.
  • Steindel C; Support Center for Advanced Neuroimaging, Institute for Diagnostic and Interventional Neuroradiology, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland.
  • Arn M; Support Center for Advanced Neuroimaging, Institute for Diagnostic and Interventional Neuroradiology, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland.
  • Wagner B; Support Center for Advanced Neuroimaging, Institute for Diagnostic and Interventional Neuroradiology, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland.
  • Grunder L; Support Center for Advanced Neuroimaging, Institute for Diagnostic and Interventional Neuroradiology, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland.
  • El-Koussy M; Support Center for Advanced Neuroimaging, Institute for Diagnostic and Interventional Neuroradiology, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland.
  • Valenzuela W; Institute for Surgical Technology and Biomechanics, University of Bern, Bern, Switzerland.
  • Reyes M; Support Center for Advanced Neuroimaging, Institute for Diagnostic and Interventional Neuroradiology, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland.
  • Scheidegger O; Institute for Surgical Technology and Biomechanics, University of Bern, Bern, Switzerland.
Front Neurol ; 9: 777, 2018.
Article em En | MEDLINE | ID: mdl-30283397
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Guideline Idioma: En Revista: Front Neurol Ano de publicação: 2018 Tipo de documento: Article País de afiliação: Suíça
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Guideline Idioma: En Revista: Front Neurol Ano de publicação: 2018 Tipo de documento: Article País de afiliação: Suíça