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Hyperspectral Imaging for Tissue Classification after Advanced Stage Ovarian Cancer Surgery-A Pilot Study.
van Vliet-Pérez, Sharline M; van de Berg, Nick J; Manni, Francesca; Lai, Marco; Rijstenberg, Lucia; Hendriks, Benno H W; Dankelman, Jenny; Ewing-Graham, Patricia C; Nieuwenhuyzen-de Boer, Gatske M; van Beekhuizen, Heleen J.
Afiliación
  • van Vliet-Pérez SM; Department of Biomechanical Engineering, Delft University of Technology, 2628 CD Delft, The Netherlands.
  • van de Berg NJ; Department of Radiotherapy, Erasmus MC Cancer Institute, University Medical Center Rotterdam, 3015 GD Rotterdam, The Netherlands.
  • Manni F; Department of Biomechanical Engineering, Delft University of Technology, 2628 CD Delft, The Netherlands.
  • Lai M; Department of Gynecological Oncology, Erasmus MC Cancer Institute, University Medical Center Rotterdam, 3015 GD Rotterdam, The Netherlands.
  • Rijstenberg L; Department of Electrical Engineering, Eindhoven University of Technology, 5612 AZ Eindhoven, The Netherlands.
  • Hendriks BHW; Department of Electrical Engineering, Eindhoven University of Technology, 5612 AZ Eindhoven, The Netherlands.
  • Dankelman J; Department of Pathology, Erasmus University Medical Center Rotterdam, 3015 GD Rotterdam, The Netherlands.
  • Ewing-Graham PC; Department of Biomechanical Engineering, Delft University of Technology, 2628 CD Delft, The Netherlands.
  • Nieuwenhuyzen-de Boer GM; Department of Biomechanical Engineering, Delft University of Technology, 2628 CD Delft, The Netherlands.
  • van Beekhuizen HJ; Department of Pathology, Erasmus University Medical Center Rotterdam, 3015 GD Rotterdam, The Netherlands.
Cancers (Basel) ; 14(6)2022 Mar 10.
Article en En | MEDLINE | ID: mdl-35326577
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Prognostic_studies Idioma: En Revista: Cancers (Basel) Año: 2022 Tipo del documento: Article País de afiliación: Países Bajos Pais de publicación: Suiza
Texto completo
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Imprimir
XML
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Prognostic_studies Idioma: En Revista: Cancers (Basel) Año: 2022 Tipo del documento: Article País de afiliación: Países Bajos Pais de publicación: Suiza