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Reseach Article

Use of Concentric Morphology Model in Detection of Masses from Mammograms: A Review Fusion Technique

Published on February 2012 by Sasinas Alias Haritha Z. A., Shreeja R.
International Conference on Advances in Computational Techniques
Foundation of Computer Science USA
ICACT2011 - Number 1
February 2012
Authors: Sasinas Alias Haritha Z. A., Shreeja R.
02651dfa-7be8-48d8-9cbf-5e42cf404447

Sasinas Alias Haritha Z. A., Shreeja R. . Use of Concentric Morphology Model in Detection of Masses from Mammograms: A Review Fusion Technique. International Conference on Advances in Computational Techniques. ICACT2011, 1 (February 2012), 5-9.

@article{
author = { Sasinas Alias Haritha Z. A., Shreeja R. },
title = { Use of Concentric Morphology Model in Detection of Masses from Mammograms: A Review Fusion Technique },
journal = { International Conference on Advances in Computational Techniques },
issue_date = { February 2012 },
volume = { ICACT2011 },
number = { 1 },
month = { February },
year = { 2012 },
issn = 0975-8887,
pages = { 5-9 },
numpages = 5,
url = { /proceedings/icact2011/number1/4769-1102/ },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Proceeding Article
%1 International Conference on Advances in Computational Techniques
%A Sasinas Alias Haritha Z. A.
%A Shreeja R.
%T Use of Concentric Morphology Model in Detection of Masses from Mammograms: A Review Fusion Technique
%J International Conference on Advances in Computational Techniques
%@ 0975-8887
%V ICACT2011
%N 1
%P 5-9
%D 2012
%I International Journal of Computer Applications
Abstract

Breast cancer is one of the most common cancers among women worldwide. Mass detection from mammogram helps in early detection of breast cancer. A Computer Aided Detection (CAD) system which will help to identify and detect the malignant masses in human breast in an accurate and cost effective way is needed. It has been the dream and aim of researchers to have a CAD system with maximum sensitivity and low false positives per image (FPI). Detection of mass from human breast is difficult due to its abundant morphological characteristics and ambiguous margins. Mass detection performance can be improved by using effective preprocessing mechanism and morphological characteristics of the mass regions. As a mass develops, it disturbs the breast parenchyma and spreads by developing multiple concentric layers. Morphological analysis of these concentric layers is a corner stone in mass detection algorithm. Various CAD systems using concentric morphology model exist in the literature. In this paper an attempt has been made to summarize some of the existing CAD systems which use concentric morphology model for early and accurate detection of masses.

References
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Index Terms

Computer Science
Information Sciences

Keywords

Breast cancer Mammography Computer Aided Detection Mass detection Concentric morphology model