A Deep Learning Convolutional Neural Network Can Recognize Common Patterns of Injury in Gastric Pathology.

Journal: Archives of pathology & laboratory medicine
Published Date: Mar 1, 2020

Abstract

CONTEXT.—: Most deep learning (DL) studies have focused on neoplastic pathology, with the realm of inflammatory pathology remaining largely untouched.

Authors

  • David R Martin
    From the Departments of Pathology (Drs Martin, Hanson, Gullapalli, Sethi, and Clark, and Mr Schultz) and Chemical and Biological Engineering (Dr Gullapalli), University of New Mexico, Albuquerque.
  • Joshua A Hanson
    From the Departments of Pathology (Drs Martin, Hanson, Gullapalli, Sethi, and Clark, and Mr Schultz) and Chemical and Biological Engineering (Dr Gullapalli), University of New Mexico, Albuquerque.
  • Rama R Gullapalli
    Departments of Pathology and Chemical and Biological Engineering, University of New Mexico, Albuquerque, New Mexico.
  • Fred A Schultz
    From the Departments of Pathology (Drs Martin, Hanson, Gullapalli, Sethi, and Clark, and Mr Schultz) and Chemical and Biological Engineering (Dr Gullapalli), University of New Mexico, Albuquerque.
  • Aisha Sethi
    From the Departments of Pathology (Drs Martin, Hanson, Gullapalli, Sethi, and Clark, and Mr Schultz) and Chemical and Biological Engineering (Dr Gullapalli), University of New Mexico, Albuquerque.
  • Douglas P Clark
    From the Departments of Pathology (Drs Martin, Hanson, Gullapalli, Sethi, and Clark, and Mr Schultz) and Chemical and Biological Engineering (Dr Gullapalli), University of New Mexico, Albuquerque.

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