Localization of Prostate Cancer Based on Fuzzy Fusion of Multispectral MRI

  • Yu Guo
  • Su Ruan
  • Jérome Landré
  • Yu Zhang
  • Xin Ming
  • Yuanming Feng
Part of the IFMBE Proceedings book series (IFMBE, volume 39)

Abstract

Accurate prostate cancer localization with noninvasive imaging can be used to guide biopsy, radiotherapy and surgery as well as to monitor disease progression [1]. Published studies have shown multispectral magnetic resonance imaging (MRI), i.e., a combination of multiple types of MR images, as a promising noninvasive imaging technique for the localization of prostate cancer.

Keywords

Prostate Cancer Fuzzy Model Membership Degree Markov Random Field Relevance Vector Machine 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2013

Authors and Affiliations

  • Yu Guo
    • 1
  • Su Ruan
    • 1
  • Jérome Landré
    • 1
  • Yu Zhang
    • 1
  • Xin Ming
    • 1
  • Yuanming Feng
    • 1
  1. 1.Univ. Reims-Champagne-Ardenne, CReSTIC IUTTroyes cedexFrance

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