Towards automated coronary artery segmentation: A systematic review.

Journal: Computer methods and programs in biomedicine
Published Date: Jul 8, 2022

Abstract

BACKGROUND AND OBJECTIVE: Vessel segmentation is the first processing stage of 3D medical images for both clinical and research use. Current segmentation methods are tedious and time consuming, requiring significant manual correction and hence are infeasible to use in large data sets.

Authors

  • Ramtin Gharleghi
    School of Mechanical and Manufacturing Engineering, UNSW, Sydney NSW 2053, Australia. Electronic address: r.gharleghi@student.unsw.edu.au.
  • Nanway Chen
    School of Mechanical and Manufacturing Engineering, UNSW, Sydney NSW 2053, Australia.
  • Arcot Sowmya
    School of Computer Science and Engineering, UNSW Sydney, Sydney, Australia.
  • Susann Beier
    School of Mechanical and Manufacturing Engineering, UNSW, Sydney NSW 2053, Australia.

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