Peripheral bronchial identification on chest CT using unsupervised machine learning.

Journal: International journal of computer assisted radiology and surgery
Published Date: Sep 1, 2018

Abstract

PURPOSE: To automatically identify small- to medium-diameter bronchial segments distributed throughout the lungs.

Authors

  • Daniel A Moses
    Department of Radiology, Prince of Wales Hospital, Sydney, 2031, Australia. daniel.moses@unsw.edu.au.
  • Laughlin Dawes
    Department of Radiology, Prince of Wales Hospital, Sydney, 2031, Australia.
  • Claude Sammut
    School of Computer Science and Engineering, University of New South Wales, Sydney, 2052, Australia.
  • Tatjana Zrimec
    Faculty of Mathematics, Natural Sciences and Information Technologies, University of Primorska, 6000, Koper, Slovenia.

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