Development of a national deep learning-based auto-segmentation model for the heart on clinical delineations from the DBCG RT nation cohort.

Journal: Acta oncologica (Stockholm, Sweden)
Published Date: Sep 15, 2023

Abstract

BACKGROUND: This study aimed at investigating the feasibility of developing a deep learning-based auto-segmentation model for the heart trained on clinical delineations.

Authors

  • Emma Riis Skarsø
    Danish Center for Particle Therapy, Aarhus University Hospital, Aarhus, Denmark.
  • Lasse Refsgaard
    Department of Clinical medicine, Aarhus University, Aarhus, Denmark.
  • Abhilasha Saini
    Department of Clinical Oncology and Palliative Care, Zealand University Hospital, Næstved, Denmark.
  • Ditte Sloth Møller
    Department of Clinical medicine, Aarhus University, Aarhus, Denmark.
  • Ebbe Laugaard Lorenzen
    Laboratory of Radiation Physics, Department of Oncology, Odense University Hospital, Odense, Denmark.
  • Else Maae
    Department of Oncology, Vejle Hospital, University Hospital of Southern Denmark, Vejle, Denmark.
  • Karen Andersen
    Department of Oncology, Herlev and Gentofte Hospital, Herlev, Denmark.
  • Maja Vestmø Maraldo
    Department of Clinical Oncology, Rigshospitalet, Copenhagen University Hospital, Copenhagen, Denmark.
  • Marie Louise Milo
    Department of Oncology, Aalborg University Hospital, Aalborg, Denmark.
  • Tine Bisballe Nyeng
    Department of Oncology, Aarhus University Hospital, Aarhus, Denmark.
  • Birgitte Vrou Offersen
    Danish Center for Particle Therapy, Aarhus University Hospital, Aarhus, Denmark.
  • Stine Sofia Korreman
    Department of Clinical Medicine, Aarhus University, Aarhus, Denmark.

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