A Novel Deep Learning Algorithm for the Automatic Detection of High-Grade Gliomas on T2-Weighted Magnetic Resonance Images: A Preliminary Machine Learning Study.

Journal: Turkish neurosurgery
Published Date: Jan 1, 2020

Abstract

AIM: To propose a convolutional neural network (CNN) for the automatic detection of high-grade gliomas (HGGs) on T2-weighted magnetic resonance imaging (MRI) scans.

Authors

  • Mehmet Ali Atici
    Gazi University Faculty of Engineering, Department of Computer Engineering, Ankara, Turkey.
  • Seref Sagiroglu
  • Pinar Celtikci
  • Murat Ucar
  • Alp Ozgun Borcek
  • Hakan Emmez
  • Emrah Celtikci
    University of Pittsburgh Medical Center, Department of Neurological Surgery, Pittsburgh, PA, USA.

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