Deep learning-based automated liver contouring using a small sample of radiotherapy planning computed tomography images.

Abstract

Authors

• N Arjmandi
  Department of Medical Physics, School of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran; Student research committee, Mashhad University of medical sciences, Mashhad, Iran. Electronic address: narjmandib971@mums.ac.ir.
• M Momennezhad
  Medical Physics Department, Faculty of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran; Nuclear Medicine Research Center, Mashhad University of Medical Sciences, Mashhad, Iran. Electronic address: MomennezhadM@mums.ac.ir.
• S Arastouei
  Department of Radiation Oncology, Mashhad University of Medical Sciences, Mashhad, Iran. Electronic address: sou.arastouei@gmail.com.
• M A Mosleh-Shirazi
  Physics Unit, Department of Radio-Oncology, Shiraz University of Medical Sciences, Shiraz, Iran; Ionizing and Non-Ionizing Radiation Protection Research Center, School of Paramedical Sciences, Shiraz University of Medical Sciences, Shiraz, Iran. Electronic address: moslehamin@hotmail.com.
• A Albawi
  Radiology Techniques Department, College of Medical Technology, The Islamic University, Najaf, Iraq; Department of Computer Engineering, Ferdowsi University of Mashhad, Mashhad, Iran. Electronic address: ali.albawi.ai@iunajaf.edo.iq.
• Z Pishevar
  Department of Radiation Oncology, Mashhad University of Medical Sciences, Mashhad, Iran. Electronic address: pshvrfz1988@email.com.
• S Nasseri
  Department of Medical Physics, School of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran. Electronic address: naserish@mums.ac.ir.

Keywords

External Resources