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

Atici M. A., SAĞIROĞLU Ş., Celtikci P., UÇAR M., BÖRCEK A. Ö., Emmez H., ...Daha Fazla

TURKISH NEUROSURGERY, cilt.30, sa.2, ss.199-205, 2020 (SCI-Expanded) identifier identifier identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 30 Sayı: 2
  • Basım Tarihi: 2020
  • Doi Numarası: 10.5137/1019-5149.jtn.27106-19.2
  • Dergi Adı: TURKISH NEUROSURGERY
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus, EMBASE, MEDLINE, TR DİZİN (ULAKBİM)
  • Sayfa Sayıları: ss.199-205
  • Anahtar Kelimeler: Artificial intelligence, Deep learning, Glioma, Machine learning, Magnetic resonance imaging
  • Gazi Üniversitesi Adresli: Evet

Özet

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.