Tackling the Radiological Society of North America Pneumonia Detection Challenge.

Journal: AJR. American journal of roentgenology
Published Date: Sep 1, 2019

Abstract

We provide overviews of deep learning approaches used by two top-placing teams for the 2018 Radiological Society of North America (RSNA) Pneumonia Detection Challenge. Practical applications of deep learning techniques, as well as insights into the annotation of the data, were keys to success in accurately detecting pneumonia on chest radiographs for the competition.

Authors

  • Ian Pan
    Warren Alpert Medical School, Brown University, Providence, RI.
  • Alexandre Cadrin-Chênevert
    Department of Medical Imaging, CISSS Lanaudière, Université Laval, Joliette, Québec, Canada.
  • Phillip M Cheng
    From the Department of Radiology, Keck School of Medicine, University of Southern California, Los Angeles, CA.

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