A deep-learning based artificial intelligence (AI) approach for differentiation of clear cell renal cell carcinoma from oncocytoma on multi-phasic MRI.

Abstract

Authors

• Moozhan Nikpanah
  Radiology and Imaging Sciences, Clinical Center, National Institutes of Health, Building 10, 9000 Rockville Pike, Bethesda, MD 20892, USA.
• Ziyue Xu
  Center for Infectious Disease Imaging (CIDI), Radiology and Imaging Science Department, National Institutes of Health (NIH), Bethesda, MD 20892, United States.
• Dakai Jin
• Faraz Farhadi
  Radiology and Imaging Sciences, National Institutes of Health Clinical Center, Bethesda, MD.
• Babak Saboury
  IBM Research, Almaden, San Jose, California.
• Mark W Ball
• Rabindra Gautam
  Urologic Oncology Branch, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA.
• Maria J Merino
  Center for Interventional Oncology, National Cancer Institute & Clinical Center, National Institutes of Health, Bethesda, MD, USA.
• Bradford J Wood
  Molecular Imaging Program, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA.
• Baris Turkbey
  Molecular Imaging Program, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA.
• Elizabeth C Jones
  Clinical Center, National Institutes of Health, Bethesda, MD, United States.
• W Marston Linehan
  Urologic Oncology Branch, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, Maryland.
• Ashkan A Malayeri
  Department of Radiology and Imaging Sciences, Clinical Center, National Institutes of Health, Bethesda, MD.

Keywords

External Resources