Deep learning for assessing image quality in bi-parametric prostate MRI: A feasibility study.

Abstract

Authors

• Deniz Alis
  Acıbadem Mehmet Ali Aydınlar University Faculty of Medicine, Department of Radiology, İstanbul, Türkiye.
• Mustafa Said Kartal
  Cumhuriyet University Faculty of Medicine, Sivas, Türkiye.
• Mustafa Ege Seker
  University of Wisconsin-Madison, School of Medicine, Department of Radiology, Madison, USA.
• Batuhan Guroz
  Acibadem Mehmet Ali Aydinlar University, School of Medicine, Department of Radiology, Istanbul, 34457, Turkey.
• Yeliz Başar
  Acıbadem Healthcare Group, Department of Radiology, İstanbul, Türkiye.
• Aydan Arslan
  Ümraniye Training and Research Hospital, Clinic of Radiology, İstanbul, Türkiye.
• Sabri Şirolu
  University of Health Sciences Türkiye, Şişli Hamidiye Etfal Training and Research Hospital, Clinic of Radiology, İstanbul, Türkiye.
• Serpil Kurtcan
  Acıbadem Healthcare Group, Department of Radiology, İstanbul, Türkiye.
• Nurper Denizoğlu
  University of Health Sciences Türkiye, Sultan 2. Abdulhamid Han Training and Research Hospital, Clinic of Radiology, İstanbul, Türkiye.
• Umit Tuzun
  Neolife, Radiology Center, Istanbul, 34340, Turkey. Electronic address: umit.tuzun@neolife.com.tr.
• Duzgun Yildirim
  Acibadem Mehmet Ali Aydinlar University, School of Vocational Sciences, Department of Radiology, Istanbul, 34457, Turkey. Electronic address: duzgun.yildirim@acibadem.com.
• İlkay Öksüz
  İstanbul Technical University Faculty of Engineering, Department of Computer Engineering, İstanbul, Türkiye.
• Ercan Karaarslan
  Acıbadem Mehmet Ali Aydınlar University Faculty of Medicine, Department of Radiology, İstanbul, Türkiye.

Keywords

External Resources