Extravalidation and reproducibility results of a commercial deep learning-based automatic detection algorithm for pulmonary nodules on chest radiographs at tertiary hospital.

Journal: Journal of medical imaging and radiation oncology
Published Date: Oct 8, 2020

Abstract

INTRODUCTION: To extra validate and evaluate the reproducibility of a commercial deep convolutional neural network (DCNN) algorithm for pulmonary nodules on chest radiographs (CRs) and to compare its performance with radiologists.

Authors

  • Young Hoon Koo
    Department of Radiology, Soonchunhyang University Bucheon Hospital, Gyeonggi-do, Korea.
  • Kyung Eun Shin
    Department of Radiology, Soonchunhyang University Bucheon Hospital, Gyeonggi-do, Korea.
  • Jai Soung Park
    College of Medicine, Soonchunhyang University, Cheonan, South Korea.
  • Jae Wook Lee
    Department of Radiology, Soonchunhyang University Bucheon Hospital, Gyeonggi-do, Korea.
  • Seonghwan Byun
    Department of Radiology, Soonchunhyang University Bucheon Hospital, Gyeonggi-do, Korea.
  • Heon Lee
    Department of Radiology, Soonchunhyang University Bucheon Hospital, Gyeonggi-do, Korea.

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