Deep-learning CT reconstruction in clinical scans of the abdomen: a systematic review and meta-analysis.

Journal: Abdominal radiology (New York)
Published Date:

Abstract

OBJECTIVE: To perform a systematic literature review and meta-analysis of the two most common commercially available deep-learning algorithms for CT.

Authors

  • Mostafa A Shehata
    Department of Abdominal Imaging, The University of Texas MD Anderson Cancer Center, 1400 Pressler Street, Unit 1473, Houston, TX, 77030-4009, USA.
  • Abdelrahman M Saad
    Faculty of Medicine, Alexandria University, Alexandria, Egypt.
  • Serageldin Kamel
    Clinical Neurosciences Imaging Center, Yale University School of Medicine, New Haven, CT.
  • Nir Stanietzky
    Department of Abdominal Imaging, The University of Texas MD Anderson Cancer Center, 1400 Pressler Street, Unit 1473, Houston, TX, 77030-4009, USA.
  • Alicia M Roman-Colon
    Texas Children's Hospital, Houston, TX, USA.
  • Ajaykumar C Morani
    Department of Abdominal Imaging, University of Texas MD Anderson Cancer Center, 1400 Pressler St, Unit 1473, Houston, TX 77030-4009.
  • Khaled M Elsayes
    Department of Abdominal Imaging, The University of Texas, MD Anderson Cancer Center, 1400 Pressler St, Houston, TX 77030, USA.
  • Corey T Jensen
    Department of Abdominal Imaging, University of Texas MD Anderson Cancer Center, 1400 Pressler St, Unit 1473, Houston, TX 77030-4009.