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Breast Cancer Detection in Mammograms based on Clustering Techniques- A Survey

by R. Ramani, S. Valarmathy, N. Suthanthira Vanitha
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 62 - Number 11
Year of Publication: 2013
Authors: R. Ramani, S. Valarmathy, N. Suthanthira Vanitha
10.5120/10123-4885

R. Ramani, S. Valarmathy, N. Suthanthira Vanitha . Breast Cancer Detection in Mammograms based on Clustering Techniques- A Survey. International Journal of Computer Applications. 62, 11 ( January 2013), 17-21. DOI=10.5120/10123-4885

@article{ 10.5120/10123-4885,
author = { R. Ramani, S. Valarmathy, N. Suthanthira Vanitha },
title = { Breast Cancer Detection in Mammograms based on Clustering Techniques- A Survey },
journal = { International Journal of Computer Applications },
issue_date = { January 2013 },
volume = { 62 },
number = { 11 },
month = { January },
year = { 2013 },
issn = { 0975-8887 },
pages = { 17-21 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume62/number11/10123-4885/ },
doi = { 10.5120/10123-4885 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T21:11:30.570906+05:30
%A R. Ramani
%A S. Valarmathy
%A N. Suthanthira Vanitha
%T Breast Cancer Detection in Mammograms based on Clustering Techniques- A Survey
%J International Journal of Computer Applications
%@ 0975-8887
%V 62
%N 11
%P 17-21
%D 2013
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Cancer is one of the most leading causes of deaths among the women in the world. Among the cancer diseases, breast cancer is especially a concern in women. Mammography is one of the methods to find tumor in the breast, which is helpful for the doctor or radiologists to detect the cancer. Doctor or radiologists can miss the abnormality due to inexperience's in the field of cancer detection. Segmentation is very valuable for doctor and radiologists to analysis the data in the mammogram. Accuracy rate of breast cancer in mammogram depends on the image segmentation. This paper is a survey of recent clustering techniques for detection of breast cancer. These fuzzy clustering algorithms have been widely studied and applied in a variety of application areas. In order to improve the efficiency of the searching process clustering techniques recommended. In this paper, we have presented a survey of clustering techniques.

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Index Terms

Computer Science
Information Sciences

Keywords

Clustering Mammogram Image segmentation k-means fuzzy c-means modified fuzzy c-means Kernelized Fuzzy C-Means modified Kernelized Fuzzy C-Means Hierarchical Clustering

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