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Research Article
International Journal of Biomedical Imaging
Volume 2017, Article ID 4237858, 2 pages

Corrigendum to “Automatic Characterization of the Physiological Condition of the Carotid Artery in 2D Ultrasound Image Sequences Using Spatiotemporal and Spatiospectral 2D Maps”

1School of Technology and Health (STH), Royal Institute of Technology (KTH), Alfred Nobels Alle 10, SE-141 52 Huddinge, Sweden
2Centre for Image Analysis, Uppsala University, P.O. Box 337, 751 05 Uppsala, Sweden

Correspondence should be addressed to Hamed Hamid Muhammed; es.htk.hts@demmahum.demah

Received 11 July 2016; Accepted 31 May 2017; Published 28 June 2017

Copyright © 2017 Hamed Hamid Muhammed and Jimmy C. Azar. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Linked References

  1. H. H. Muhammed and J. C. Azar, “Automatic characterization of the physiological condition of the carotid artery in 2D ultrasound image sequences using spatiotemporal and spatiospectral 2D maps,” International Journal of Biomedical Imaging, vol. 2014, Article ID 876267, 14 pages, 2014. View at Publisher · View at Google Scholar · View at Scopus