Tensor-cut: A tensor-based graph-cut blood vessel segmentation method and its application to renal artery segmentation

Wang, C, Oda, M, Hayashi, Y et al. (4 more authors) (2020) Tensor-cut: A tensor-based graph-cut blood vessel segmentation method and its application to renal artery segmentation. Medical Image Analysis, 60. 101623. ISSN 1361-8415

Abstract

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Authors/Creators:
Copyright, Publisher and Additional Information: © 2019 Elsevier B.V. All rights reserved. This is an author produced version of an article published in Medical Image Analysis. Uploaded in accordance with the publisher's self-archiving policy.
Keywords: Blood vessel segmentation; Graph-cut; Renal artery; Tensor; Hessian matrix; Riemannian manifold
Dates:
  • Accepted: 25 November 2019
  • Published (online): 1 December 2019
  • Published: February 2020
Institution: The University of Leeds
Academic Units: The University of Leeds > Faculty of Engineering & Physical Sciences (Leeds) > School of Computing (Leeds)
Depositing User: Symplectic Publications
Date Deposited: 13 May 2020 14:15
Last Modified: 01 Dec 2020 01:39
Status: Published
Publisher: Elsevier
Identification Number: https://doi.org/10.1016/j.media.2019.101623

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