Urinary bladder cancer staging in CT urography using machine learning.

Journal: Medical physics
Published Date:

Abstract

PURPOSE: To evaluate the feasibility of using an objective computer-aided system to assess bladder cancer stage in CT Urography (CTU).

Authors

  • Sankeerth S Garapati
    Department of Radiology, The University of Michigan, Ann Arbor, MI, 48109, USA.
  • Lubomir Hadjiiski
    Department of Radiology, The University of Michigan, Ann Arbor, Michigan 48109-0904.
  • Kenny H Cha
    Department of Radiology, University of Michigan, Ann Arbor, Michigan.
  • Heang-Ping Chan
    Department of Radiology, University of Michigan, Ann Arbor, Michigan.
  • Elaine M Caoili
    Department of Radiology, University of Michigan, Ann Arbor, Michigan.
  • Richard H Cohan
    Department of Radiology, University of Michigan, Ann Arbor, Michigan.
  • Alon Weizer
    Department of Urology, Comprehensive Cancer Center, The University of Michigan, Ann Arbor, MI, 48109, USA.
  • Ajjai Alva
    Department of Internal Medicine, Hematology-Oncology, University of Michigan, Ann Arbor, Michigan.
  • Chintana Paramagul
    Department of Radiology, University of Michigan, Ann Arbor, Michigan.
  • Jun Wei
    Guangzhou Perception Vision Medical Technology Inc. Guangzhou 510000 China.
  • Chuan Zhou
    Department of Radiology, The University of Michigan, Ann Arbor, MI, 48109, USA.