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Correction: A deep image-to-image network organ segmentation algorithm for radiation treatment planning: principles and evaluation.
Marschner, Sebastian; Datar, Manasi; Gaasch, Aurélie; Xu, Zhoubing; Grbic, Sasa; Chabin, Guillaume; Geiger, Bernhard; Rosenman, Julian; Corradini, Stefanie; Niyazi, Maximilian; Heimann, Tobias; Möhler, Christian; Vega, Fernando; Belka, Claus; Thieke, Christian.
Afiliação
  • Marschner S; Department of Radiation Oncology, University Hospital, LMU Munich, Munich, Germany. sebastian.marschner@med.uni-muenchen.de.
  • Datar M; Department of Radiation Oncology, LMU Klinikum, Marchioninistr. 15, 81377, München, Germany. sebastian.marschner@med.uni-muenchen.de.
  • Gaasch A; Technology Excellence, Digital Technology & Innovation, Siemens Healthineers, Erlangen, Germany.
  • Xu Z; Department of Radiation Oncology, University Hospital, LMU Munich, Munich, Germany.
  • Grbic S; Technology Excellence, Digital Technology & Innovation, Siemens Healthineers, Princeton, NJ, USA.
  • Chabin G; Technology Excellence, Digital Technology & Innovation, Siemens Healthineers, Princeton, NJ, USA.
  • Geiger B; Technology Excellence, Digital Technology & Innovation, Siemens Healthineers, Princeton, NJ, USA.
  • Rosenman J; Technology Excellence, Digital Technology & Innovation, Siemens Healthineers, Princeton, NJ, USA.
  • Corradini S; Department of Radiation Oncology, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.
  • Niyazi M; Department of Radiation Oncology, University Hospital, LMU Munich, Munich, Germany.
  • Heimann T; Department of Radiation Oncology, University Hospital, LMU Munich, Munich, Germany.
  • Möhler C; Technology Excellence, Digital Technology & Innovation, Siemens Healthineers, Erlangen, Germany.
  • Vega F; Cancer Therapy, Siemens Healthineers, Forchheim, Germany.
  • Belka C; Cancer Therapy, Siemens Healthineers, Forchheim, Germany.
  • Thieke C; Department of Radiation Oncology, University Hospital, LMU Munich, Munich, Germany.
Radiat Oncol ; 17(1): 149, 2022 Aug 23.
Article em En | MEDLINE | ID: mdl-35999593
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Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2022 Tipo de documento: Article
Texto completo
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XML
PubMed Links
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Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2022 Tipo de documento: Article