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Correction: Development and evaluation of two open-source nnU-Net models for automatic segmentation of lung tumors on PET and CT images with and without respiratory motion compensation.
Carles, Montserrat; Kuhn, Dejan; Fechter, Tobias; Baltas, Dimos; Mix, Michael; Nestle, Ursula; Grosu, Anca L; Martí-Bonmatí, Luis; Radicioni, Gianluca; Gkika, Eleni.
Afiliação
  • Carles M; La Fe Health Research Institute, Biomedical Imaging Research Group (GIBI230-PREBI) and Imaging La Fe node at Distributed Network for Biomedical Imaging (ReDIB) Unique Scientific and Technical Infra-structures (ICTS), Valencia, Spain. montserrat_carles@iislafe.es.
  • Kuhn D; Division of Medical Physics, Department of Radiation Oncology, Faculty of Medicine, University Medical Center Freiburg, Freiburg, Germany.
  • Fechter T; German Cancer Consortium (DKTK), German Cancer Research Center (DKFZ), Partner Site Freiburg, German Cancer Research Center (DKFZ), Heidelberg, Germany.
  • Baltas D; Division of Medical Physics, Department of Radiation Oncology, Faculty of Medicine, University Medical Center Freiburg, Freiburg, Germany.
  • Mix M; German Cancer Consortium (DKTK), German Cancer Research Center (DKFZ), Partner Site Freiburg, German Cancer Research Center (DKFZ), Heidelberg, Germany.
  • Nestle U; Division of Medical Physics, Department of Radiation Oncology, Faculty of Medicine, University Medical Center Freiburg, Freiburg, Germany.
  • Grosu AL; German Cancer Consortium (DKTK), German Cancer Research Center (DKFZ), Partner Site Freiburg, German Cancer Research Center (DKFZ), Heidelberg, Germany.
  • Martí-Bonmatí L; Department of Nuclear Medicine, Faculty of Medicine, University Medical Center Freiburg, Freiburg, Germany.
  • Radicioni G; German Cancer Consortium (DKTK), German Cancer Research Center (DKFZ), Partner Site Freiburg, German Cancer Research Center (DKFZ), Heidelberg, Germany.
  • Gkika E; Department of Radiation Oncology, Faculty of Medicine, University Medical Center Freiburg, Freiburg, Germany.
Eur Radiol ; 2024 Jun 18.
Article em En | MEDLINE | ID: mdl-38888765

Texto completo: 1 Base de dados: MEDLINE Idioma: En Revista: Eur Radiol Assunto da revista: RADIOLOGIA Ano de publicação: 2024 Tipo de documento: Article País de afiliação: Espanha

Texto completo: 1 Base de dados: MEDLINE Idioma: En Revista: Eur Radiol Assunto da revista: RADIOLOGIA Ano de publicação: 2024 Tipo de documento: Article País de afiliação: Espanha