Your browser doesn't support javascript.
loading
Deep learning based automatic segmentation of organs-at-risk for 0.35 T MRgRT of lung tumors.
Ribeiro, Marvin F; Marschner, Sebastian; Kawula, Maria; Rabe, Moritz; Corradini, Stefanie; Belka, Claus; Riboldi, Marco; Landry, Guillaume; Kurz, Christopher.
Afiliação
  • Ribeiro MF; Department of Radiation Oncology, LMU University Hospital, LMU Munich, Munich, Germany.
  • Marschner S; Department of Radiation Oncology, LMU University Hospital, LMU Munich, Munich, Germany.
  • Kawula M; Department of Radiation Oncology, LMU University Hospital, LMU Munich, Munich, Germany.
  • Rabe M; Department of Radiation Oncology, LMU University Hospital, LMU Munich, Munich, Germany.
  • Corradini S; Department of Radiation Oncology, LMU University Hospital, LMU Munich, Munich, Germany.
  • Belka C; Department of Radiation Oncology, LMU University Hospital, LMU Munich, Munich, Germany.
  • Riboldi M; German Cancer Consortium (DKTK), Partner Site Munich, Munich, Germany.
  • Landry G; Bavarian Cancer Research Center (BZKF), Munich, Germany.
  • Kurz C; Department of Medical Physics, Ludwig-Maximilians-Universität München, Garching, Germany.
Radiat Oncol ; 18(1): 135, 2023 Aug 14.
Article em En | MEDLINE | ID: mdl-37574549
Assuntos
Palavras-chave
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Aprendizado Profundo / Neoplasias Pulmonares Idioma: En Ano de publicação: 2023 Tipo de documento: Article
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Aprendizado Profundo / Neoplasias Pulmonares Idioma: En Ano de publicação: 2023 Tipo de documento: Article