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Spinal Cord Segmentation by One Dimensional Normalized Template Matching: A Novel, Quantitative Technique to Analyze Advanced Magnetic Resonance Imaging Data.
Cadotte, Adam; Cadotte, David W; Livne, Micha; Cohen-Adad, Julien; Fleet, David; Mikulis, David; Fehlings, Michael G.
Afiliação
  • Cadotte A; Department of Surgery, Division of Neurosurgery, University of Toronto, Toronto, Ontario, Canada.
  • Cadotte DW; Department of Surgery, Division of Neurosurgery, University of Toronto, Toronto, Ontario, Canada; Toronto Western Hospital, University Health Network, Toronto, Ontario, Canada.
  • Livne M; Department of Computer Science, University of Toronto, Toronto, Ontario, Canada.
  • Cohen-Adad J; Institute of Biomedical Engineering, Ecole Polytechnique de Montréal, Montreal, Quebec, Canada; Functional Neuroimaging Unit, CRIUGM, Université de Montréal, Montreal, Quebec, Canada.
  • Fleet D; Department of Computer Science, University of Toronto, Toronto, Ontario, Canada.
  • Mikulis D; Toronto Western Hospital, University Health Network, Toronto, Ontario, Canada; Department of Medical Imaging, Division of Neuroradiology, University of Toronto, Toronto, Ontario, Canada.
  • Fehlings MG; Department of Surgery, Division of Neurosurgery, University of Toronto, Toronto, Ontario, Canada; Toronto Western Hospital, University Health Network, Toronto, Ontario, Canada; University of Toronto Spine Program, University of Toronto, Toronto, Ontario, Canada.
PLoS One ; 10(10): e0139323, 2015.
Article em En | MEDLINE | ID: mdl-26445367
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Medula Espinal / Imageamento por Ressonância Magnética Limite: Adult / Female / Humans / Male / Middle aged Idioma: En Ano de publicação: 2015 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: Medula Espinal / Imageamento por Ressonância Magnética Limite: Adult / Female / Humans / Male / Middle aged Idioma: En Ano de publicação: 2015 Tipo de documento: Article