Current applications of deep-learning in neuro-oncological MRI.

Journal: Physica medica : PM : an international journal devoted to the applications of physics to medicine and biology : official journal of the Italian Association of Biomedical Physics (AIFB)
Published Date:

Abstract

PURPOSE: Magnetic Resonance Imaging (MRI) provides an essential contribution in the screening, detection, diagnosis, staging, treatment and follow-up in patients with a neurological neoplasm. Deep learning (DL), a subdomain of artificial intelligence has the potential to enhance the characterization, processing and interpretation of MRI images. The aim of this review paper is to give an overview of the current state-of-art usage of DL in MRI for neuro-oncology.

Authors

  • C M L Zegers
    Department of Radiation Oncology (Maastro), Maastricht University Medical Center+, GROW School for Developmental Biology and Oncology, Maastricht, the Netherlands. Electronic address: karen.zegers@maastro.nl.
  • J Posch
    Department of Radiation Oncology (Maastro), Maastricht University Medical Center+, GROW School for Developmental Biology and Oncology, Maastricht, the Netherlands.
  • A Traverso
    Department of Radiation Oncology (Maastro), GROW School for Oncology, Maastricht University Medical Centre+, Maastricht, The Netherlands.
  • D Eekers
    Department of Radiation Oncology (Maastro), Maastricht University Medical Center+, GROW School for Developmental Biology and Oncology, Maastricht, the Netherlands.
  • A A Postma
    Department of Radiology & Nuclear Medicine, Maastricht University Medical Center, MHeNs School for Mental Health and Neuroscience, Maastricht, the Netherlands.
  • W Backes
    Department of Radiology & Nuclear Medicine, Maastricht University Medical Center, MHeNs School for Mental Health and Neuroscience, Maastricht, the Netherlands.
  • A Dekker
    Department of Radiation Oncology (Maastro), GROW School for Oncology, Maastricht University Medical Centre+, Maastricht, The Netherlands.
  • W van Elmpt
    Department of Radiation Oncology (Maastro), Maastricht University Medical Center+, GROW School for Developmental Biology and Oncology, Maastricht, the Netherlands.