Evaluation of state-of-the-art segmentation algorithms for left ventricle infarct from late Gadolinium enhancement MR images

Karim, R., Bhagirath, P., Claus, P. et al. (16 more authors) (2016) Evaluation of state-of-the-art segmentation algorithms for left ventricle infarct from late Gadolinium enhancement MR images. MEDICAL IMAGE ANALYSIS, 30. pp. 95-107. ISSN 1361-8415

Abstract

Metadata

Authors/Creators:
  • Karim, R.
  • Bhagirath, P.
  • Claus, P.
  • Housden, R.J.
  • Chen, Z.
  • Karimaghaloo, Z.
  • Sohn, H-M.
  • Lara Rodriguez, L.
  • Vera, S.
  • Alba, X.
  • Hennemuth, A.
  • Peitgen, H-O.
  • Arbel, T.
  • Gonzalez Ballester, M.A.
  • Frangi, A.F. https://orcid.org/0000-0002-2675-528X
  • Gotte, M.
  • Razavi, R.
  • Schaeffter, T.
  • Rhode, K.
Copyright, Publisher and Additional Information: © 2016 The Authors. Published by Elsevier B.V. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
Keywords: Late Gadolinium enhancement; Segmentation; Algorithm benchmarking
Dates:
  • Published (online): 28 January 2016
  • Accepted: 15 January 2016
  • Published: May 2016
Institution: The University of Sheffield
Academic Units: The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Electronic and Electrical Engineering (Sheffield)
Depositing User: Symplectic Sheffield
Date Deposited: 11 Jul 2016 12:01
Last Modified: 11 Jul 2016 12:04
Published Version: http://dx.doi.org/10.1016/j.media.2016.01.004
Status: Published
Publisher: Elsevier
Refereed: Yes
Identification Number: https://doi.org/10.1016/j.media.2016.01.004
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