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Research ArticleHead and Neck Imaging

Using Bayesian Tissue Classification to Improve the Accuracy of Vestibular Schwannoma Volume and Growth Measurement

Elizabeth A. Vokurka, Amit Herwadkar, Neil A. Thacker, Richard T. Ramsden and Alan Jackson
American Journal of Neuroradiology March 2002, 23 (3) 459-467;
Elizabeth A. Vokurka
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Amit Herwadkar
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Neil A. Thacker
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Richard T. Ramsden
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Alan Jackson
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Article Information

vol. 23 no. 3 459-467
PubMed 
11901019

Published By 
American Journal of Neuroradiology
Print ISSN 
0195-6108
Online ISSN 
1936-959X
History 
  • Received February 22, 2001
  • Accepted after revision August 15, 2001
  • Published online March 1, 2002.

Copyright & Usage 
Copyright © American Society of Neuroradiology

Author Information

  1. Elizabeth A. Vokurkaa,
  2. Amit Herwadkarb,
  3. Neil A. Thackera,
  4. Richard T. Ramsdenc and
  5. Alan Jacksona
  1. aDivision of Imaging Science and Biomedical Engineering, Department of Medicine, University of Manchester, England
  2. bDepartment of Diagnostic Radiology, Central Manchester Healthcare NHS Trust, Manchester, England
  3. cDepartment of Otolaryngology, Central Manchester Healthcare NHS Trust, Manchester, England
  1. Address reprint requests to Alan Jackson, PhD, MRCP, FRCR, Imaging Science and Biomedical Engineering, Dept of Medicine, Univ of Manchester, Oxford Rd, Manchester, M13 9PL, England
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American Journal of Neuroradiology: 23 (3)
American Journal of Neuroradiology
Vol. 23, Issue 3
1 Mar 2002
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Cite this article
Elizabeth A. Vokurka, Amit Herwadkar, Neil A. Thacker, Richard T. Ramsden, Alan Jackson
Using Bayesian Tissue Classification to Improve the Accuracy of Vestibular Schwannoma Volume and Growth Measurement
American Journal of Neuroradiology Mar 2002, 23 (3) 459-467;

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Using Bayesian Tissue Classification to Improve the Accuracy of Vestibular Schwannoma Volume and Growth Measurement
Elizabeth A. Vokurka, Amit Herwadkar, Neil A. Thacker, Richard T. Ramsden, Alan Jackson
American Journal of Neuroradiology Mar 2002, 23 (3) 459-467;
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