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Automatic microchannel detection using deep learning in intravascular optical coherence tomography images.
Lee, Juhwan; Kim, Justin N; Pereira, Gabriel T R; Gharaibeh, Yazan; Kolluru, Chaitanya; Zimin, Vladislav N; Dallan, Luis A P; Motairek, Issam K; Hoori, Ammar; Guagliumi, Giulio; Bezerra, Hiram G; Wilson, David L.
Afiliación
  • Lee J; Department of Biomedical Engineering, Case Western Reserve University, Cleveland, OH, 44106, USA.
  • Kim JN; Department of Biomedical Engineering, Case Western Reserve University, Cleveland, OH, 44106, USA.
  • Pereira GTR; Cardiovascular Imaging Core Laboratory, Harrington Heart and Vascular Institute, University Hospitals Cleveland Medical Center, Cleveland, OH, 44106, USA.
  • Gharaibeh Y; Department of Biomedical Engineering, Case Western Reserve University, Cleveland, OH, 44106, USA.
  • Kolluru C; Department of Biomedical Engineering, Case Western Reserve University, Cleveland, OH, 44106, USA.
  • Zimin VN; Cardiovascular Imaging Core Laboratory, Harrington Heart and Vascular Institute, University Hospitals Cleveland Medical Center, Cleveland, OH, 44106, USA.
  • Dallan LAP; Cardiovascular Imaging Core Laboratory, Harrington Heart and Vascular Institute, University Hospitals Cleveland Medical Center, Cleveland, OH, 44106, USA.
  • Motairek IK; Cardiovascular Imaging Core Laboratory, Harrington Heart and Vascular Institute, University Hospitals Cleveland Medical Center, Cleveland, OH, 44106, USA.
  • Hoori A; Department of Biomedical Engineering, Case Western Reserve University, Cleveland, OH, 44106, USA.
  • Guagliumi G; Cardiovascular Department, Ospedale Papa Giovanni XXIII, Bergamo, Italy.
  • Bezerra HG; Interventional Cardiology Center, Heart and Vascular Institute, University of South Florida, Tampa, FL, 33606, USA.
  • Wilson DL; Department of Biomedical Engineering, Case Western Reserve University, Cleveland, OH, 44106, USA.
Proc SPIE Int Soc Opt Eng ; 120342022.
Article en En | MEDLINE | ID: mdl-36465096
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Diagnostic_studies / Prognostic_studies Idioma: En Revista: Proc SPIE Int Soc Opt Eng Año: 2022 Tipo del documento: Article País de afiliación: Estados Unidos Pais de publicación: Estados Unidos
Texto completo
Añadir a Mi BVS
Imprimir
XML
PubMed Links
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Diagnostic_studies / Prognostic_studies Idioma: En Revista: Proc SPIE Int Soc Opt Eng Año: 2022 Tipo del documento: Article País de afiliación: Estados Unidos Pais de publicación: Estados Unidos