Patch-Based Adaptive Background Subtraction for Vascular Enhancement in X-Ray Cineangiograms

Song, S, Yang, J, Ai, D et al. (7 more authors) (2019) Patch-Based Adaptive Background Subtraction for Vascular Enhancement in X-Ray Cineangiograms. IEEE Journal of Biomedical and Health Informatics, 23 (6). pp. 2563-2575. ISSN 2168-2194

Abstract

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Item Type: Article
Authors/Creators:
Copyright, Publisher and Additional Information:

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Keywords: Learning, Adaptive Background, Enhancement, Coronary Cineangiography
Dates:
  • Published: November 2019
  • Published (online): 10 January 2019
  • Accepted: 1 December 2018
Institution: The University of Leeds
Academic Units: The University of Leeds > Faculty of Engineering & Physical Sciences (Leeds) > School of Computing (Leeds)
Funding Information:
Funder
Grant number
EU - European Union
777119
EPSRC
EP/N026993/1
Depositing User: Symplectic Publications
Date Deposited: 17 Jan 2019 11:47
Last Modified: 19 Nov 2019 23:51
Status: Published
Publisher: Institute of Electrical and Electronics Engineers Inc.
Identification Number: 10.1109/jbhi.2019.2892072
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Open Archives Initiative ID (OAI ID):

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