Login / Signup

A preliminary study on in-vitro lung cancer detection using E-nose technology.

R. ThriumaniAmmar ZakariaA. JeffreeN. A. HishamuddinM. I. OmarAbdul Hamid AdomAli Yeon Md ShakaffL. M. KamarudinNurlisa YusufK. M. HelmyY. Z. H. Y. Hashim
Published in: ICCSCE (2014)
Keyphrases
  • cancer detection
  • gene selection
  • training data
  • prostate cancer
  • lung cancer
  • data sets
  • feature selection
  • website
  • pattern recognition
  • image analysis
  • multi class
  • image registration
  • computer aided