Deep learning enabled classification of Mayo endoscopic subscore in patients with ulcerative colitis.

Journal: European journal of gastroenterology & hepatology
Published Date:

Abstract

OBJECTIVE: Previous reports of deep learning-assisted assessment of Mayo endoscopic subscore (MES) in ulcerative colitis have only explored the ability to distinguish disease remission (MES 0/1) from severe disease (MES 2/3) or inactive disease (MES 0) from active disease (MES 1-3). We sought to explore the utility of deep learning models in the automated grading of each individual MES in ulcerative colitis.

Authors

  • Hriday P Bhambhvani
    Department of Urology, Stanford University Medical Center, Stanford, CA.
  • Alvaro Zamora
    Department of Physics, Stanford University, Stanford, CA.