Automatic Assessment of Full Left Ventricular Coverage in Cardiac Cine Magnetic Resonance Imaging With Fisher-Discriminative 3-D CNN

Zhang, L, Gooya, A, Pereanez, M et al. (5 more authors) (2019) Automatic Assessment of Full Left Ventricular Coverage in Cardiac Cine Magnetic Resonance Imaging With Fisher-Discriminative 3-D CNN. IEEE transactions on bio-medical engineering, 66 (7). pp. 1975-1986. ISSN 0018-9294

Abstract

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Authors/Creators:
Copyright, Publisher and Additional Information: (c) 2017 IEEE. This work is licensed under a Creative Commons Attribution 3.0 License. For more information, see http://creativecommons.org/licenses/by/3.0/.
Keywords: 3D convolutional neural network; LV coverage; image-quality assessment; population image analysis; Fisher discriminant criterion
Dates:
  • Published: July 2019
  • Accepted: 1 November 2018
  • Published (online): 21 November 2018
Institution: The University of Leeds
Academic Units: The University of Leeds > Faculty of Engineering (Leeds) > School of Computing (Leeds)
Funding Information:
FunderGrant number
EPSRCEP/N026993/1
Depositing User: Symplectic Publications
Date Deposited: 10 Dec 2018 10:01
Last Modified: 28 Jun 2019 14:37
Status: Published
Publisher: IEEE
Identification Number: https://doi.org/10.1109/tbme.2018.2881952

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