Machine vision image quality measurement in cardiac x-ray imaging

Kengyelics, SM, Gislason-Lee, AJ, Keeble, C et al. (2 more authors) (2015) Machine vision image quality measurement in cardiac x-ray imaging. In: Proceedings of SPIE 9399, Image Processing: Algorithms and Systems XIII. SPIE Electronic Imaging, 08-13 Feb 2015, San Francisco, California, USA. Society of Photo-optical Instrumentation Engineers (SPIE) . ISBN 9781628414899

Abstract

Metadata

Authors/Creators:
  • Kengyelics, SM
  • Gislason-Lee, AJ
  • Keeble, C
  • Magee, D
  • Davies, AG
Copyright, Publisher and Additional Information: (c) 2015, Society of Photo-Optical Instrumentation Engineers (SPIE). This is an author produced version of a paper published in Proceedings of SPIE 9399, Image Processing: Algorithms and Systems XIII.
Dates:
  • Published: 16 March 2015
Institution: The University of Leeds
Academic Units: The University of Leeds > Faculty of Engineering (Leeds) > School of Computing (Leeds) > Artificial Intelligence & Biological Systems (Leeds)
The University of Leeds > Faculty of Maths and Physical Sciences (Leeds) > School of Mathematics (Leeds)
The University of Leeds > Faculty of Medicine and Health (Leeds)
Funding Information:
FunderGrant number
EU - European Union269104
Innovate UKfka Technology Strategy Board (TSB)600735/296104-1
EU - European Union600735/296104-1
Depositing User: Symplectic Publications
Date Deposited: 01 Oct 2015 12:50
Last Modified: 17 Jan 2018 02:47
Published Version: http://dx.doi.org/10.1117/12.2083208
Status: Published
Publisher: Society of Photo-optical Instrumentation Engineers (SPIE)
Identification Number: https://doi.org/10.1117/12.2083208

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