Autosegmentation of lung computed tomography datasets using deep learning U-Net architecture.

Journal: Journal of cancer research and therapeutics
Published Date: Jan 1, 2023

Abstract

AIM: Current radiotherapy treatment techniques require a large amount of imaging data for treatment planning which demand significant clinician's time to segment target volume and organs at risk (OARs). In this study, we propose to use U-net-based architecture to segment OARs commonly encountered in lung cancer radiotherapy.

Authors

  • Akash Mehta
    Department of Radiation Oncology, Princess Alexandra Hospital, Queensland; Science and Engineering Faculty, Queensland University of Technology, Brisbane, Australia.
  • Margot Lehman
    Department of Radiation Oncology, Princess Alexandra Hospital, Brisbane, Australia; School of Medicine, University of Queensland, Australia.
  • Prabhakar Ramachandran
    Queensland University of Technology, 4000, Australia.

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