Training, validation, and clinical implementation of a deep-learning segmentation model for radiotherapy of loco-regional breast cancer.

Journal: Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology
PMID: 35618100

Abstract

AIM: To train and validate a comprehensive deep-learning (DL) segmentation model for loco-regional breast cancer with the aim of clinical implementation.

Authors

  • Sigrun Saur Almberg
    Department of Radiotherapy, Cancer Clinic, St. Olavs Hospital, Trondheim, Norway. Electronic address: sigrun.saur.almberg@stolav.no.
  • Christoffer Lervåg
    Department of Oncology, Ålesund Hospital, Ålesund, Norway.
  • Jomar Frengen
    Department of Radiotherapy, Cancer Clinic, St. Olavs Hospital, Trondheim, Norway.
  • Monica Eidem
    Department of Radiotherapy, Cancer Clinic, St. Olavs Hospital, Trondheim, Norway.
  • Tatiana Mikhailovna Abramova
    Department of Oncology, Ålesund Hospital, Ålesund, Norway.
  • Cecilie Soma Nordstrand
    Department of Oncology, Ålesund Hospital, Ålesund, Norway.
  • Mirjam Delange Alsaker
    Department of Radiotherapy, Cancer Clinic, St. Olavs Hospital, Trondheim, Norway.
  • Hanne Tøndel
    Department of Radiotherapy, Cancer Clinic, St. Olavs Hospital, Trondheim, Norway.
  • Sunil Xavier Raj
    Department of Radiotherapy, Cancer Clinic, St. Olavs Hospital, Trondheim, Norway.
  • Anne Dybdahl Wanderås
    Department of Radiotherapy, Cancer Clinic, St. Olavs Hospital, Trondheim, Norway.

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