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Automated localization and segmentation of cervical lymph nodes on contrast-enhanced CT using a 3D foveal fully convolutional neural network.
Rinneburger, Miriam; Carolus, Heike; Iuga, Andra-Iza; Weisthoff, Mathilda; Lennartz, Simon; Hokamp, Nils Große; Caldeira, Liliana; Shahzad, Rahil; Maintz, David; Laqua, Fabian Christopher; Baeßler, Bettina; Klinder, Tobias; Persigehl, Thorsten.
Afiliación
  • Rinneburger M; Institute of Diagnostic and Interventional Radiology, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany. miriam.rinneburger@uk-koeln.de.
  • Carolus H; Philips Research, Hamburg, Germany.
  • Iuga AI; Institute of Diagnostic and Interventional Radiology, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany.
  • Weisthoff M; Institute of Diagnostic and Interventional Radiology, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany.
  • Lennartz S; Institute of Diagnostic and Interventional Radiology, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany.
  • Hokamp NG; Institute of Diagnostic and Interventional Radiology, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany.
  • Caldeira L; Institute of Diagnostic and Interventional Radiology, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany.
  • Shahzad R; Institute of Diagnostic and Interventional Radiology, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany.
  • Maintz D; Innovative Technologies, Philips Healthcare, Aachen, Germany.
  • Laqua FC; Institute of Diagnostic and Interventional Radiology, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany.
  • Baeßler B; Institute of Diagnostic and Interventional Radiology, University Hospital Würzburg, Würzburg, Germany.
  • Klinder T; Institute of Diagnostic and Interventional Radiology, University Hospital Würzburg, Würzburg, Germany.
  • Persigehl T; Philips Research, Hamburg, Germany.
Eur Radiol Exp ; 7(1): 45, 2023 07 28.
Article en En | MEDLINE | ID: mdl-37505296

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Redes Neurales de la Computación / Ganglios Linfáticos Tipo de estudio: Observational_studies / Prognostic_studies Límite: Humans Idioma: En Revista: Eur Radiol Exp Año: 2023 Tipo del documento: Article País de afiliación: Alemania

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Redes Neurales de la Computación / Ganglios Linfáticos Tipo de estudio: Observational_studies / Prognostic_studies Límite: Humans Idioma: En Revista: Eur Radiol Exp Año: 2023 Tipo del documento: Article País de afiliación: Alemania