Evaluating artificial intelligence for a focal nodular hyperplasia diagnosis using magnetic resonance imaging: preliminary findings.

Abstract

Authors

• Mecit Kantarcı
  Erzincan Binali Yıldırım University Faculty of Medicine, Department of Radiology, Erzincan, Türkiye.
• Volkan Kızılgöz
  Erzincan Binali Yıldırım University Faculty of Medicine, Department of Radiology, Erzincan, Türkiye.
• Ramazan Terzi
  Computer Engineering Department, Amasya University, Amasya, Turkey. Electronic address: ramazan.terzi@amasya.edu.tr.
• Ahmet Enes Kılıç
  Digital Transformation Office, Presidency of the Republic of Türkiye, Ankara, Türkiye.
• Halime Kabalcı
  Erzincan Binali Yıldırım University Faculty of Medicine, Department of Anatomy, Erzincan, Türkiye.
• Önder Durmaz
  Erzincan Binali Yıldırım University Faculty of Medicine, Department of Radiology, Erzincan, Türkiye.
• Nil Tokgöz
  Department of Radiology, Faculty of Medicine, Gazi University, Ankara TR 06570, Turkey.
• Mustafa Harman
  Ege University Faculty of Medicine, Department of Radiology, İzmir, Türkiye.
• Ayşegül Sağır Kahraman
  İnönü University Faculty of Medicine, Department of Radiology, Malatya, Türkiye.
• Ali Avanaz
  Akdeniz University Faculty of Medicine, Department of General Surgery, Antalya, Türkiye.
• Sonay Aydın
  Erzincan Binali Yıldırım University Faculty of Medicine, Department of Radiology, Erzincan, Türkiye.
• Gülsüm Özlem Elpek
  Akdeniz University Faculty of Medicine, Department of Pathology, Antalya, Türkiye.
• Merve Yazol
  Gazi University Faculty of Medicine, Department of Radiology, Ankara, Türkiye.
• Bülent Aydınlı
  Akdeniz University Faculty of Medicine, Department of General Surgery, Antalya, Türkiye.

Keywords

External Resources