Autodelineation of cervical cancers using multiparametric magnetic resonance imaging and machine learning.

Journal: Acta oncologica (Stockholm, Sweden)
Published Date: Feb 8, 2017

Abstract

BACKGROUND: Tumour delineation is a challenging, time-consuming and complex part of radiotherapy planning. In this study, an automatic method for delineating locally advanced cervical cancers was developed using a machine learning approach.

Authors

  • Turid Torheim
    a Faculty of Science and Technology , Norwegian University of Life Sciences , Ås , Norway.
  • Eirik Malinen
    b Department of Physics , University of Oslo , Oslo , Norway.
  • Knut Håkon Hole
    d Department of Radiology and Nuclear Medicine , Oslo University Hospital , Oslo , Norway.
  • Kjersti Vassmo Lund
    d Department of Radiology and Nuclear Medicine , Oslo University Hospital , Oslo , Norway.
  • Ulf G Indahl
    a Faculty of Science and Technology , Norwegian University of Life Sciences , Ås , Norway.
  • Heidi Lyng
    e Department of Radiation Biology , Oslo University Hospital , Oslo , Norway.
  • Knut Kvaal
    a Faculty of Science and Technology , Norwegian University of Life Sciences , Ås , Norway.
  • Cecilia M Futsaether
    a Faculty of Science and Technology , Norwegian University of Life Sciences , Ås , Norway.

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