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International Journal of Biomedical Imaging
Volume 2013 (2013), Article ID 517632, 11 pages
http://dx.doi.org/10.1155/2013/517632
Research Article

Automatic Detection of 2D and 3D Lung Nodules in Chest Spiral CT Scans

1Bioimaging Laboratory, Department of Bioengineering, University of Louisville, Louisville, KY 40292, USA
2Urology and Nephrology Department, University of Mansoura, Mansoura 35516, Egypt
3Department of Computer Science, The University of Auckland 1142, Auckland, New Zealand
4Medical Imaging Division, Jewish Hospital, Louisville, KY 40202, USA
5Electrical and Computer Engineering Department, University of Louisville, KY 40292, USA

Received 9 September 2012; Revised 13 December 2012; Accepted 14 December 2012

Academic Editor: Kazunori Okada

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.

How to Cite this Article

Ayman El-Baz, Ahmed Elnakib, Mohamed Abou El-Ghar, Georgy Gimel'farb, Robert Falk, and Aly Farag, “Automatic Detection of 2D and 3D Lung Nodules in Chest Spiral CT Scans,” International Journal of Biomedical Imaging, vol. 2013, Article ID 517632, 11 pages, 2013. doi:10.1155/2013/517632