Attention-Based Deep Neural Networks for Detection of Cancerous and Precancerous Esophagus Tissue on Histopathological Slides.

Journal: JAMA network open
Published Date: Nov 1, 2019

Abstract

IMPORTANCE: Deep learning-based methods, such as the sliding window approach for cropped-image classification and heuristic aggregation for whole-slide inference, for analyzing histological patterns in high-resolution microscopy images have shown promising results. These approaches, however, require a laborious annotation process and are fragmented.

Authors

  • 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.
  • Jason Wei
    Department of Biomedical Data Science, Geisel School of Medicine, Dartmouth College, Hanover, New Hampshire.
  • Bing Ren
    Ludwig Institute for Cancer Research, La Jolla, CA, 92093, USA.
  • Arief Suriawinata
    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.
  • 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.

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