A comparative evaluation of two algorithms of detection of masses on   mammograms
  In this paper, we implement and carry out the comparison of two methods of computer-aided-detection of masses on mammograms. The two algorithms basically consist of 3 steps each: segmentation, binarization and noise suppression using different techniques for each step. A database of 60 images was used to compare the performance of the two algorithms in terms of general detection efficiency, conservation of size and shape of detected masses. 
Guillaume Kom, Alain Tiedeu, Martin Kom, John Ngundam
cs.CV