A comparative evaluation of two algorithms of detection of masses on mammograms
Computer Vision and Pattern Recognition
2012-03-09 v1
Abstract
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.
Cite
@article{arxiv.1203.1765,
title = {A comparative evaluation of two algorithms of detection of masses on mammograms},
author = {Guillaume Kom and Alain Tiedeu and Martin Kom and John Ngundam},
journal= {arXiv preprint arXiv:1203.1765},
year = {2012}
}
Comments
9 pages, 5 figures, 1 table, Vol.3, No.1, February 2012,pp19-27; Signal & Image Processing : An International Journal (SIPIJ),2012