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International Journal of Biomedical Imaging
Volume 2013, Article ID 618561, 2 pages
http://dx.doi.org/10.1155/2013/618561
Editorial

Lung Imaging Data Analysis

1BioImaging Laboratory, Bioengineering Department, Speed School of Engineering, The University of Louisville, Louisville, KY 40292, USA
2Department of Radiology, School of Medicine, The University of Louisville, Louisville, KY 40292, USA
3Department of Computer Science, The University of Auckland, Auckland 1142, New Zealand
4Department of Radiology, Division of Biological Sciences, The University of Chicago, Chicago, IL 60637, USA
5Department of Computer Science, San Francisco State University, San Francisco, CA 94132, USA

Received 7 February 2013; Accepted 7 February 2013

Copyright © 2013 Ayman El-Baz et al. 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.

Citations to this Article [11 citations]

The following is the list of published articles that have cited the current article.

  • Mario Buty, Ziyue Xu, Ulas Bagci, Aaron Wu, Mingchen Gao, and Daniel J. Mollura, “Characterization of lung nodule malignancy using hybrid shape and appearance features,” Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 9900, pp. 662–670, 2016. View at Publisher · View at Google Scholar
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