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Reseach Article

Analysis of Breast MRI images using Wavelets for Detection of Cancer

Published on December 2011 by Manojkumar D. Bohare, Alice N. Cheeran, Vidya G. Sarode
International Conference on Electronics, Information and Communication Engineering
Foundation of Computer Science USA
ICEICE - Number 4
December 2011
Authors: Manojkumar D. Bohare, Alice N. Cheeran, Vidya G. Sarode
e5518bbc-e17d-4825-9f0b-73e9db2e54e3

Manojkumar D. Bohare, Alice N. Cheeran, Vidya G. Sarode . Analysis of Breast MRI images using Wavelets for Detection of Cancer. International Conference on Electronics, Information and Communication Engineering. ICEICE, 4 (December 2011), 1-3.

@article{
author = { Manojkumar D. Bohare, Alice N. Cheeran, Vidya G. Sarode },
title = { Analysis of Breast MRI images using Wavelets for Detection of Cancer },
journal = { International Conference on Electronics, Information and Communication Engineering },
issue_date = { December 2011 },
volume = { ICEICE },
number = { 4 },
month = { December },
year = { 2011 },
issn = 0975-8887,
pages = { 1-3 },
numpages = 3,
url = { /specialissues/iceice/number4/4271-iceice025/ },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Special Issue Article
%1 International Conference on Electronics, Information and Communication Engineering
%A Manojkumar D. Bohare
%A Alice N. Cheeran
%A Vidya G. Sarode
%T Analysis of Breast MRI images using Wavelets for Detection of Cancer
%J International Conference on Electronics, Information and Communication Engineering
%@ 0975-8887
%V ICEICE
%N 4
%P 1-3
%D 2011
%I International Journal of Computer Applications
Abstract

Breast cancer is the second leading cause of cancer death after lung cancer among women. The greatest effect on reducing mortality in breast cancer comes from the detection and treatment of invasive cancer when it is as small as possible. Accurate preoperative diagnosis of breast lesion is essential for optimal treatment planning. In order to avoid unnecessary patient distress, it is important to achieve the definite diagnosis without delay and with as few biopsies as possible. Nowadays, when breast cancer is one of the most frequently diagnosed malignancies among women, cost-effective ways for its diagnosis are necessary. Various methods are being performed on mammographic images to detect it at the early stage. This paper describes the Analysis of the breast MR images with the help of wavelet transform. The first step is to apply histogram modification technique to improve the contrast of the image. Then de-noising and filtering are used to remove unwanted data. Finally DWT is used to separate the frequencies and IDWT and thresholding is used for the final detection of cancer.

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Index Terms

Computer Science
Information Sciences

Keywords

Breast MRI Breast cancer detection Wavelet Transform