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Journal of Biomedicine and Biotechnology
Volume 2009, Article ID 623853, 7 pages
http://dx.doi.org/10.1155/2009/623853
Methodology Report

A Bayesian Approach to Multistage Fitting of the Variation of the Skeletal Age Features

1Department of Computer Science, The George Washington University, 801 22nd Street NW, Washington, DC 20052, USA
2Division of Epidemiology and Biostatistics, Uniformed Services University of the Health Sciences, 4301 Jones Bridge Road, Bethesda, MD 20814, USA
3Department of Computer Science, University of Texas-Pan American, 1201 W. University Drive, Edinburg, TX 78539, USA

Received 1 December 2008; Accepted 17 March 2009

Academic Editor: Zhenqiu Liu

Copyright © 2009 Dong Hua 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.

Linked References

  1. D. B. Darling, Radiography of Infants and Children, chapter 6, Charles C. Thomas, Springfield, Ill, USA, 1st edition, 1979.
  2. A. K. Poznanski, S. M. Garn, J. M. Nagy, and J. C. Gall Jr., “Metacarpophalangeal pattern profiles in the evaluation of skeletal malformations,” Radiology, vol. 104, no. 1, pp. 1–11, 1972. View at Google Scholar
  3. D. R. Kirks, Practical Pediatric Imaging: Diagnostic Radiology of Infants and Children, chapter 6, Little, Brown, Boston, Mass, USA, 1st edition, 1984.
  4. J. Kosowicz, “The roentgen appearance of the hand and wrist in gonadal dysgenesis,” The American Journal of Roentgenology, Radium Therapy and Nuclear Medicine, vol. 93, pp. 354–361, 1965. View at Google Scholar
  5. E. Pietka, M. F. McNitt-Gray, M. L. Kuo, and H. K. Huang, “Computer-assisted phalangeal analysis in skeletal age assessment,” IEEE Transactions on Medical Imaging, vol. 10, no. 4, pp. 616–620, 1991. View at Publisher · View at Google Scholar
  6. E. Pietka, A. Gertych, S. Pospiech, F. Cao, H. K. Huang, and V. Gilsanz, “Computer-assisted bone age assessment: image preprocessing and epiphyseal/metaphyseal ROI extraction,” IEEE Transactions on Medical Imaging, vol. 20, no. 8, pp. 715–729, 2001. View at Publisher · View at Google Scholar
  7. D. Chen, M. Fries, and J. M. Lyon, “A statistical method of detecting bioremediation,” Journal of Data Science, vol. 1, no. 1, pp. 27–41, 2003. View at Google Scholar
  8. G. E. P. Box and G. C. Tiao, Bayesian Inference in Statistical Analysis, John Wiley & Sons, New York, NY, USA, 1992.