Brain-GCN-Net: Graph-Convolutional Neural Network for brain tumor identification.

Journal: Computers in biology and medicine
Published Date:

Abstract

BACKGROUND: The intersection of artificial intelligence and medical image analysis has ushered in a new era of innovation and changed the landscape of brain tumor detection and diagnosis. Correct detection and classification of brain tumors based on medical images is crucial for early diagnosis and effective treatment. Convolutional Neural Network (CNN) models are widely used for disease detection. However, they are sometimes unable to sufficiently recognize the complex features of medical images.

Authors

  • Ercan Gürsoy
    Department of Computer Engineering, Adana Alparslan Turkes Science and Technology University, Adana, 01250, Turkey. Electronic address: egursoy@atu.edu.tr.
  • Yasin Kaya
    Department of Computer Engineering, Adana Alparslan Türkeş Science and Technology University, Adana, Turkey.