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An effective classification procedure for diagnosis of prostate cancer in near infrared spectra.

Seoung Bum KimChivalai TemiyasathitKarim BensalahAltug TuncelJeffrey CadedduWareef KabbaniAditya V. MathkerHanli Liu
Published in: Expert Syst. Appl. (2010)
Keyphrases
  • prostate cancer
  • classification procedure
  • magnetic resonance spectroscopy
  • rotation invariant
  • mr images
  • medical image analysis
  • feature selection
  • co occurrence
  • gray level
  • supervised classification