Tissue Classification of Breast Cancer by Hyperspectral Unmixing.

Jong, Lynn-Jade S; Post, Anouk L; Veluponnar, Dinusha; Geldof, Freija; Sterenborg, Henricus J C M; Ruers, Theo J M; Dashtbozorg, Behdad

Jong, Lynn-Jade S; Post, Anouk L; Veluponnar, Dinusha; Geldof, Freija; Sterenborg, Henricus J C M; Ruers, Theo J M; Dashtbozorg, Behdad.

Afiliación

Jong LS; Department of Surgery, Netherlands Cancer Institute, Plesmanlaan 121, 1066 CX Amsterdam, The Netherlands.
Post AL; Department of Nanobiophysics, Faculty of Science and Technology, University of Twente, Drienerlolaan 5, 7522 NB Enschede, The Netherlands.
Veluponnar D; Department of Surgery, Netherlands Cancer Institute, Plesmanlaan 121, 1066 CX Amsterdam, The Netherlands.
Geldof F; Department of Biomedical Engineering and Physics, Amsterdam University Medical Centers, University of Amsterdam, Meibergdreef 9, 1105 AZ Amsterdam, The Netherlands.
Sterenborg HJCM; Department of Surgery, Netherlands Cancer Institute, Plesmanlaan 121, 1066 CX Amsterdam, The Netherlands.
Ruers TJM; Department of Nanobiophysics, Faculty of Science and Technology, University of Twente, Drienerlolaan 5, 7522 NB Enschede, The Netherlands.
Dashtbozorg B; Department of Surgery, Netherlands Cancer Institute, Plesmanlaan 121, 1066 CX Amsterdam, The Netherlands.

Cancers (Basel) ; 15(10)2023 May 09.

Article en En | MEDLINE | ID: mdl-37345015

Palabras clave

breast tissue; breast-conserving surgery; hyperspectral imaging; hyperspectral unmixing; resection margin assessment; tissue classification

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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: 2023 Tipo del documento: Article País de afiliación: Países Bajos Pais de publicación: Suiza

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