Evaluation of a Deep Neural Network for Automated Classification of Colorectal Polyps on Histopathologic Slides.

Journal: JAMA network open
Published Date:

Abstract

IMPORTANCE: Histologic classification of colorectal polyps plays a critical role in screening for colorectal cancer and care of affected patients. An accurate and automated algorithm for the classification of colorectal polyps on digitized histopathologic slides could benefit practitioners and patients.

Authors

  • Jason W Wei
    Department of Computer Science, Dartmouth-Hitchcock Medical Center, Lebanon, New Hampshire.
  • Arief A Suriawinata
    Department of Pathology and Laboratory Medicine, Dartmouth-Hitchcock Medical Center, Lebanon, New Hampshire.
  • Louis J Vaickus
    Department of Pathology and Laboratory Medicine, Dartmouth-Hitchcock Medical Center, Lebanon, New Hampshire.
  • Bing Ren
    Ludwig Institute for Cancer Research, La Jolla, CA, 92093, USA.
  • Xiaoying Liu
    Department of Pathology and Laboratory Medicine, Dartmouth-Hitchcock Medical Center, Lebanon, New Hampshire.
  • Mikhail Lisovsky
    Department of Pathology and Laboratory Medicine, Dartmouth-Hitchcock Medical Center, Lebanon, New Hampshire.
  • Naofumi Tomita
    Biomedical Data Science Department, Dartmouth College, Hanover, NH 03755, USA.
  • Behnaz Abdollahi
    Department of Electrical and Computer Engineering, University of Louisville, KY, USA.
  • Adam S Kim
    Minnesota Gastroenterology PA, Minneapolis.
  • Dale C Snover
    Department of Pathology, Fairview Southdale Hospital, Edina, Minnesota.
  • John A Baron
    Department of Medicine, University of North Carolina at Chapel Hill, Chapel Hill.
  • Elizabeth L Barry
    Department of Epidemiology, Dartmouth College, Hanover, New Hampshire.
  • Saeed Hassanpour
    Lia Harrington, Todd MacKenzie, and Saeed Hassanpour, Geisel School of Medicine at Dartmouth College, Hanover; Roberta diFlorio-Alexander, Katherine Trinh, and Arief Suriawinata, Dartmouth-Hitchcock Medical Center, Lebanon, NH.