Fully automated brain resection cavity delineation for radiation target volume definition in glioblastoma patients using deep learning.

Journal: Radiation oncology (London, England)
Published Date: May 6, 2020

Abstract

BACKGROUND: Automated brain tumor segmentation methods are computational algorithms that yield tumor delineation from, in this case, multimodal magnetic resonance imaging (MRI). We present an automated segmentation method and its results for resection cavity (RC) in glioblastoma multiforme (GBM) patients using deep learning (DL) technologies.

Authors

  • Ekin Ermiş
    Department of Radiation Oncology, Inselspital, Bern University Hospital, and University of Bern, Freiburgstrasse, 3010, Bern, Switzerland.
  • Alain Jungo
    Insel Data Science Center, Inselspital, Bern University Hospital, Bern, Switzerland.
  • Robert Poel
    Department of Radiation Oncology, Inselspital, Bern University Hospital, and University of Bern, Freiburgstrasse, 3010, Bern, Switzerland.
  • Marcela Blatti-Moreno
    Department of Radiation Oncology, Inselspital, Bern University Hospital, and University of Bern, Freiburgstrasse, 3010, Bern, Switzerland.
  • Raphael Meier
    Institute for Surgical Technology and Biomechanics, University of Bern, Switzerland. Electronic address: raphael.meier@istb.unibe.ch.
  • Urspeter Knecht
    Institute for Diagnostic and Interventional Neuroradiology, Inselspital, Bern University Hospital, and University of Bern, Bern, Switzerland.
  • Daniel M Aebersold
    Department of Radiation Oncology, Inselspital, Bern University Hospital, and University of Bern, Freiburgstrasse, 3010, Bern, Switzerland.
  • Michael K Fix
    Division of Medical Radiation Physics and Department of Radiation Oncology, Inselspital, Bern University Hospital, and University of Bern, Bern, Switzerland.
  • Peter Manser
    Division of Medical Radiation Physics and Department of Radiation Oncology, Inselspital, Bern University Hospital, and University of Bern, Bern, Switzerland.
  • Mauricio Reyes
    Center for Artificial Intelligence in Medicine, University of Bern, Bern, Switzerland.
  • Evelyn Herrmann
    Department of Radiation Oncology, Inselspital, Bern University Hospital, and University of Bern, Freiburgstrasse, 3010, Bern, Switzerland. evelyn.herrmann@insel.ch.

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