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Reseach Article

A Review on Preprocessing Techniques for Digital Mammography Images

Published on April 2015 by Aziz Makandar, Bhagirathi Halalli
National conference on Digital Image and Signal Processing
Foundation of Computer Science USA
DISP2015 - Number 1
April 2015
Authors: Aziz Makandar, Bhagirathi Halalli
80f3861f-d8b2-447d-9b6c-5611f9767fad

Aziz Makandar, Bhagirathi Halalli . A Review on Preprocessing Techniques for Digital Mammography Images. National conference on Digital Image and Signal Processing. DISP2015, 1 (April 2015), 23-27.

@article{
author = { Aziz Makandar, Bhagirathi Halalli },
title = { A Review on Preprocessing Techniques for Digital Mammography Images },
journal = { National conference on Digital Image and Signal Processing },
issue_date = { April 2015 },
volume = { DISP2015 },
number = { 1 },
month = { April },
year = { 2015 },
issn = 0975-8887,
pages = { 23-27 },
numpages = 5,
url = { /proceedings/disp2015/number1/20479-3008/ },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Proceeding Article
%1 National conference on Digital Image and Signal Processing
%A Aziz Makandar
%A Bhagirathi Halalli
%T A Review on Preprocessing Techniques for Digital Mammography Images
%J National conference on Digital Image and Signal Processing
%@ 0975-8887
%V DISP2015
%N 1
%P 23-27
%D 2015
%I International Journal of Computer Applications
Abstract

Mammograms are the soft X-rays kind of imaging technique used for the detection of any lesions or cysts in breasts. Digital mammograms have many kinds of artifacts that affect the accuracy of the detection of tumor tissues in the automated Computer Aided Detection (CAD) system for mammograms. Preprocessing helps to remove such artifacts is an important step. Image preprocessing is used to maintain image efficiency in mammogram images there are many artifacts need to be removed like labels, patient name, muscle part, etc. and enhance the region of interest which helps for efficient segmentation and detection of tumor. The basic objective of this study is to evaluate and discuss different techniques and approaches proposed in order to enhance the breast cancer images and an efficient preprocessing technique for mammography. It aims to find the existing preprocessing techniques for mammography images and discuss the techniques used and their advantages.

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Index Terms

Computer Science
Information Sciences

Keywords

Breast Cancer Preprocessing Active Contour Seeded Region Grow Contrast Enhancement Morphology Watershed And Region Of Interest (roi).