Development of a deep learning algorithm for Paneth cell density quantification for inflammatory bowel disease.

Journal: EBioMedicine
PMID:

Abstract

BACKGROUND: Alterations in ileal Paneth cell (PC) density have been described in gut inflammatory diseases such as Crohn's disease (CD) and could be used as a biomarker for disease prognosis. However, quantifying PCs is time-intensive, a barrier for clinical workflow. Deep learning (DL) has transformed the development of robust and accurate tools for complex image evaluation. Our aim was to use DL to quantify PCs for use as a quantitative biomarker.

Authors

  • Liang-I Kang
    Department of Pathology & Immunology, Washington University in St. Louis School of Medicine, 660 South Euclid Avenue, Campus Box 8118, Saint Louis, MO, 63110, United States.
  • Kathryn Sarullo
    Department of Computer Science and Engineering, McKelvey School of Engineering, Washington University in St. Louis, St. Louis, Missouri.
  • Jon N Marsh
  • Liang Lu
    Department of Pathology & Immunology, Washington University in St. Louis School of Medicine, 660 South Euclid Avenue, Campus Box 8118, Saint Louis, MO, 63110, United States.
  • Pooja Khonde
    Department of Pathology & Immunology, Washington University in St. Louis School of Medicine, 660 South Euclid Avenue, Campus Box 8118, Saint Louis, MO, 63110, United States.
  • Changqing Ma
    Department of Pathology & Immunology, Washington University in St. Louis School of Medicine, 660 South Euclid Avenue, Campus Box 8118, Saint Louis, MO, 63110, United States.
  • Talin Haritunians
    The F. Widjaja Inflammatory Bowel Disease Institute, Cedars-Sinai Medical Center, 8700 Beverly Blvd., Los Angeles, CA, 90048, United States.
  • Angela Mujukian
    The F. Widjaja Inflammatory Bowel Disease Institute, Cedars-Sinai Medical Center, 8700 Beverly Blvd., Los Angeles, CA, 90048, United States.
  • Emebet Mengesha
    The F. Widjaja Inflammatory Bowel Disease Institute, Cedars-Sinai Medical Center, 8700 Beverly Blvd., Los Angeles, CA, 90048, United States.
  • Dermot P B McGovern
    3 Widjaja Foundation Inflammatory Bowel & Immunobiology Research Institute, Cedars-Sinai Medical Center , Los Angeles, California.
  • Thaddeus S Stappenbeck
  • S Joshua Swamidass
    Department of Computer Science and Engineering, McKelvey School of Engineering, Washington University in St. Louis, St. Louis, Missouri.
  • Ta-Chiang Liu