Deep learning with test-time augmentation for radial endobronchial ultrasound image differentiation: a multicentre verification study.

Journal: BMJ open respiratory research
Published Date: Aug 1, 2023

Abstract

PURPOSE: Despite the importance of radial endobronchial ultrasound (rEBUS) in transbronchial biopsy, researchers have yet to apply artificial intelligence to the analysis of rEBUS images.

Authors

  • Kai-Lun Yu
    Department of Internal Medicine, National Taiwan University Hospital Hsin-Chu Branch, Hsinchu, Taiwan.
  • Yi-Shiuan Tseng
    Department of Computer Science, National Tsing Hua University, Hsinchu, Taiwan.
  • Han-Ching Yang
    Department of Internal Medicine, National Taiwan University Hospital Hsin-Chu Branch, Hsinchu, Taiwan.
  • Chia-Jung Liu
    Department of Internal Medicine, National Taiwan University Hospital Hsin-Chu Branch, Hsinchu, Taiwan.
  • Po-Chih Kuo
    Department of Computer Science, National Chiao Tung University, 1001 University Road, Hsinchu, Taiwan.
  • Meng-Rui Lee
    Department of Internal Medicine, National Taiwan University Hospital, Taipei, Taiwan leemr@ntu.edu.tw kuopc@cs.nthu.edu.tw.
  • Chun-Ta Huang
    Department of Internal Medicine, National Taiwan University Hospital, College of Medicine, National Taiwan University, Taipei, Taiwan.
  • Lu-Cheng Kuo
    Department of Internal Medicine, National Taiwan University Hospital, College of Medicine, National Taiwan University, Taipei, Taiwan.
  • Jann-Yuan Wang
    Department of Internal Medicine, National Taiwan University Hospital, Taipei, Taiwan.
  • Chao-Chi Ho
    Department of Internal Medicine, National Taiwan University Hospital, Taipei, Taiwan.
  • Jin-Yuan Shih
    Department of Internal Medicine, National Taiwan University Hospital and National Taiwan University College of Medicine, Taipei, Taiwan.
  • Chong-Jen Yu
    Department of Internal Medicine, National Taiwan University Hospital Hsin-Chu Branch, Hsinchu, Taiwan.

Keywords

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