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Efficient, high-performance semantic segmentation using multi-scale feature extraction.
Knolle, Moritz; Kaissis, Georgios; Jungmann, Friederike; Ziegelmayer, Sebastian; Sasse, Daniel; Makowski, Marcus; Rueckert, Daniel; Braren, Rickmer.
Afiliação
  • Knolle M; Department of Diagnostic and Interventional Radiology, Klinikum rechts der Isar, School of Medicine, Technical University of Munich, Munich, Germany.
  • Kaissis G; Institute for Artificial Intelligence and Informatics in Medicine, Klinikum rechts der Isar, School of Medicine, Technical University of Munich, Munich, Germany.
  • Jungmann F; Department of Diagnostic and Interventional Radiology, Klinikum rechts der Isar, School of Medicine, Technical University of Munich, Munich, Germany.
  • Ziegelmayer S; Institute for Artificial Intelligence and Informatics in Medicine, Klinikum rechts der Isar, School of Medicine, Technical University of Munich, Munich, Germany.
  • Sasse D; OpenMined.
  • Makowski M; Department of Computing, Imperial College London, London, United Kingdom.
  • Rueckert D; Department of Diagnostic and Interventional Radiology, Klinikum rechts der Isar, School of Medicine, Technical University of Munich, Munich, Germany.
  • Braren R; Department of Diagnostic and Interventional Radiology, Klinikum rechts der Isar, School of Medicine, Technical University of Munich, Munich, Germany.
PLoS One ; 16(8): e0255397, 2021.
Article em En | MEDLINE | ID: mdl-34411138

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Guideline / Prognostic_studies Idioma: En Ano de publicação: 2021 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Guideline / Prognostic_studies Idioma: En Ano de publicação: 2021 Tipo de documento: Article