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Article:Survey on Segmentation Methods for Locating Masses in a Mammogram Image

by Prof. Samir Kumar Bandyopadhyay
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 9 - Number 11
Year of Publication: 2010
Authors: Prof. Samir Kumar Bandyopadhyay
10.5120/1429-1926

Prof. Samir Kumar Bandyopadhyay . Article:Survey on Segmentation Methods for Locating Masses in a Mammogram Image. International Journal of Computer Applications. 9, 11 ( November 2010), 25-28. DOI=10.5120/1429-1926

@article{ 10.5120/1429-1926,
author = { Prof. Samir Kumar Bandyopadhyay },
title = { Article:Survey on Segmentation Methods for Locating Masses in a Mammogram Image },
journal = { International Journal of Computer Applications },
issue_date = { November 2010 },
volume = { 9 },
number = { 11 },
month = { November },
year = { 2010 },
issn = { 0975-8887 },
pages = { 25-28 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume9/number11/1429-1926/ },
doi = { 10.5120/1429-1926 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T19:58:20.113048+05:30
%A Prof. Samir Kumar Bandyopadhyay
%T Article:Survey on Segmentation Methods for Locating Masses in a Mammogram Image
%J International Journal of Computer Applications
%@ 0975-8887
%V 9
%N 11
%P 25-28
%D 2010
%I Foundation of Computer Science (FCS), NY, USA
Abstract

A digital mammogram generally detects varying degrees of breast cancer such as clustered microcalcifications, speculated lesions, circumscribed masses, ill-defined masses, and architectural distortions. Many methods of analysing digital mammograms have been recently examined and yielded varied success.

References
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Index Terms

Computer Science
Information Sciences

Keywords

Segmentation Methods Locating Masses Mammogram Image

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