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Deep-learning segmentation of fascicles from microCT of the human vagus nerve.
Buyukcelik, Ozge N; Lapierre-Landry, Maryse; Kolluru, Chaitanya; Upadhye, Aniruddha R; Marshall, Daniel P; Pelot, Nicole A; Ludwig, Kip A; Gustafson, Kenneth J; Wilson, David L; Jenkins, Michael W; Shoffstall, Andrew J.
Afiliación
  • Buyukcelik ON; Department of Biomedical Engineering, Case Western Reserve University, Cleveland, OH, United States.
  • Lapierre-Landry M; Advanced Platform Technologies Center, Louis Stokes Cleveland VA Medical Center, Cleveland, OH, United States.
  • Kolluru C; Department of Biomedical Engineering, Case Western Reserve University, Cleveland, OH, United States.
  • Upadhye AR; Department of Biomedical Engineering, Case Western Reserve University, Cleveland, OH, United States.
  • Marshall DP; Department of Biomedical Engineering, Case Western Reserve University, Cleveland, OH, United States.
  • Pelot NA; Advanced Platform Technologies Center, Louis Stokes Cleveland VA Medical Center, Cleveland, OH, United States.
  • Ludwig KA; Department of Biomedical Engineering, Duke University, Durham, NC, United States.
  • Gustafson KJ; Department of Biomedical Engineering, Duke University, Durham, NC, United States.
  • Wilson DL; Department of Biomedical Engineering, University of Wisconsin Madison, Madison, WI, United States.
  • Jenkins MW; Department of Neurological Surgery, University of Wisconsin Madison, Madison, WI, United States.
  • Shoffstall AJ; Wisconsin Institute for Translational Neuroengineering, Madison, WI, United States.
Front Neurosci ; 17: 1169187, 2023.
Article en En | MEDLINE | ID: mdl-37332862
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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Tipo de estudio: Guideline / Prognostic_studies Idioma: En Revista: Front Neurosci Año: 2023 Tipo del documento: Article País de afiliación: Estados Unidos
Texto completo
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Tipo de estudio: Guideline / Prognostic_studies Idioma: En Revista: Front Neurosci Año: 2023 Tipo del documento: Article País de afiliación: Estados Unidos