Table of Contents
International Journal of Molecular Imaging
Volume 2013 (2013), Article ID 980769, 13 pages
http://dx.doi.org/10.1155/2013/980769
Clinical Study

Automatic Segmentation of Lung Carcinoma Using 3D Texture Features in 18-FDG PET/CT

1Medical Physics Unit, University of McGill, Montreal, QC, Canada H3A 0G4
2Department of Radiation Oncology, Odette Cancer Centre, the Sunnybrook Health Sciences Centre, Toronto, ON, Canada M4N 3M5
3Department of Radiation Oncology, Princess Margaret Hospital, Toronto, ON, Canada M5G 2M9

Received 11 September 2012; Revised 6 January 2013; Accepted 7 January 2013

Academic Editor: Hiroshi Watabe

Copyright © 2013 Daniel Markel 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

Daniel Markel, Curtis Caldwell, Hamideh Alasti, et al., “Automatic Segmentation of Lung Carcinoma Using 3D Texture Features in 18-FDG PET/CT,” International Journal of Molecular Imaging, vol. 2013, Article ID 980769, 13 pages, 2013. doi:10.1155/2013/980769