Login / Signup

Using the low-pass monogenic signal framework for cell/background classification on multiple cell lines in bright-field microscope images.

Firas MuallaSimon SchöllBjörn SommerfeldtAndreas K. MaierStefan SteidlRainer BuchholzJoachim Hornegger
Published in: Int. J. Comput. Assist. Radiol. Surg. (2014)
Keyphrases
  • microscope images
  • low pass
  • cell lines
  • pattern recognition
  • cell cycle
  • feature selection
  • feature extraction
  • high frequency
  • machine learning