Extensive clinical testing of Deep Learning Segmentation models for thorax and breast cancer radiotherapy planning.

Journal: Acta oncologica (Stockholm, Sweden)
Published Date:

Abstract

BACKGROUND: The performance of deep learning segmentation (DLS) models for automatic organ extraction from CT images in the thorax and breast regions was investigated. Furthermore, the readiness and feasibility of integrating DLS into clinical practice were addressed by measuring the potential time savings and dosimetric impact.

Authors

  • Stine Gyland Mikalsen
    Department of Medical Physics, Oslo University Hospital, Oslo, Norway.
  • Torleiv Skjøtskift
    Department of Oncology, Oslo University Hospital, Oslo, Norway.
  • Vidar Gordon Flote
    Department of Oncology, Oslo University Hospital, Oslo, Norway.
  • Niklas Petteri Hämäläinen
    Department of Oncology, Oslo University Hospital, Oslo, Norway.
  • Mojgan Heydari
    Department of Medical Physics, Oslo University Hospital, Oslo, Norway.
  • Karsten Rydén-Eilertsen
    Department of Medical Physics, Oslo University Hospital, Oslo, Norway.