Utilizing Deep Convolutional Generative Adversarial Networks for Automatic Segmentation of Gliomas: An Artificial Intelligence Study.

Journal: Turkish neurosurgery
Published Date:

Abstract

AIM: To describe a deep convolutional generative adversarial networks (DCGAN) model which learns normal brain MRI from normal subjects than finds distortions such as a glioma from a test subject while performing a segmentation at the same time.

Authors

  • Ebru Aydogan Duman
    Gazi University Faculty of Engineering, Department of Computer Engineering, Ankara, Turkey.
  • Seref Sagiroglu
  • Pinar Celtikci
  • Mustafa Umut Demirezen
  • Alp Ozgun Borcek
  • Hakan Emmez
  • Emrah Celtikci
    University of Pittsburgh Medical Center, Department of Neurological Surgery, Pittsburgh, PA, USA.