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Removal of Pectoral Muscle in Mammograms using Statistical Parameters

by Sonali Bhadoria, Yash Bharwani, Anikta Pati
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 43 - Number 6
Year of Publication: 2012
Authors: Sonali Bhadoria, Yash Bharwani, Anikta Pati
10.5120/6104-8192

Sonali Bhadoria, Yash Bharwani, Anikta Pati . Removal of Pectoral Muscle in Mammograms using Statistical Parameters. International Journal of Computer Applications. 43, 6 ( April 2012), 1-4. DOI=10.5120/6104-8192

@article{ 10.5120/6104-8192,
author = { Sonali Bhadoria, Yash Bharwani, Anikta Pati },
title = { Removal of Pectoral Muscle in Mammograms using Statistical Parameters },
journal = { International Journal of Computer Applications },
issue_date = { April 2012 },
volume = { 43 },
number = { 6 },
month = { April },
year = { 2012 },
issn = { 0975-8887 },
pages = { 1-4 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume43/number6/6104-8192/ },
doi = { 10.5120/6104-8192 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:32:40.801151+05:30
%A Sonali Bhadoria
%A Yash Bharwani
%A Anikta Pati
%T Removal of Pectoral Muscle in Mammograms using Statistical Parameters
%J International Journal of Computer Applications
%@ 0975-8887
%V 43
%N 6
%P 1-4
%D 2012
%I Foundation of Computer Science (FCS), NY, USA
Abstract

The image segmentation is the basic step in the detection of tumors in various medical images. Specially when used for CAD system. Presence of pectoral muscles gives very false results in the detection process. Removing pectoral muscles is a very important issue in Mammograms. This paper address this issues of Pectorial muscles removal from the mammogram image. We have extracted various features of the mammogram images and their ranges to remove the unwanted part of pectoral muscles which remains even after the segmentation. This method is very simple and yet very effective to achieve the exact ROI.

References
  1. American Cancer Society,Breast Cancer Facts and Figures 2007-2008,Atlanta,Georgia:American Cancer Society ,Inc. 2007.
  2. Jaya Sharma & Sujeet Sharma,"Mammogram Image Segmentation using Watershed", International Journal of Information Technology and Knowledge anagement.
  3. Byung-Woo Hong and Michael Brady," Segmentation of Mammograms in Topographic Approach", Medical Vision Laboratory, University of Oxford, U. K.
  4. Sonali Bhadoria, Preeti Agrawwal, CG Dethe, Renu Vig,' Role of Segmentation in Medical Imaging: A Comparative Study ',International Journal of Computer Applications (0975 – 8887)'
  5. H. B. Kekre and Saylee Gharge " Texture Based Segmentation using Statistical Properties for Mammographic Images",(IJACSA) International Journal of Advanced Computer Scirnce and Apllications,Vol, 1,No. 5,November 2010.
  6. C. H. Chen1,2 and G. G. Lee," On Digital Mammogram segmentation and microcalcification detection using multiresolution wavelet analysis",Electrical and Computer Engineering Department, University of Massachusetts Dartmouth, 285 Old Westport Road, N. Dartmouth, Massachusetts 02747.
  7. Wang, T. C. Karayiannis, N. B. "Detection of microcalcifications in digital mammograms using wavelets", Dept. of Electr. & Comput. Eng. , US Robotics, Stokie, IL, USA.
  8. M. Melloul,"Segemntation of Microcalcifications in X-ray Mammograms using Entropy Based Thresholding",Masters Thesis, The Hebrew University of Jerusalem,Dec. 2001. Available in http://www. cs. huji. ac. il/~josko/cas-publications. html.
  9. Moti Melloul and Leo Joskowicz,"Segmentation of microcalcification in X-ray mammograms using entropy thresholding",School of Computer Science and Engineering.
  10. Indra Kanta Maitra,Sanjay Nag and Samir K. Bandyopadhyay,"Dtection of Abnormal Masses using Divide and Conquer Algorithm Digital Mammogram",Dept. of Computer Science & Engineering, University of Calcutta, 92 A. P. C. Road,Kolkata-700009,West Bengal,India.
  11. Dr. H. B. Kekre1, Saylee M. Gharge2 and Tanuja K. Sarode3,"Image Segmentation of Mammographic Images Using Kekre'S Proportionate Error Technique on Probability Images", International Journal of Computer and Electrical Engineering, Vol. 2, No. 6, December, 2010 1793-8163.
  12. Styliani Petroudi and Michael Brady,"Breast Density Segmentation Using Texture",Wolfson Medical Vision Laboratory ,Oxford University,Oxford,OX@ 7DD,United Kingdom.
  13. Nagi, J. ; Abdul Kareem, S. ; Nagi, F. ; Kaleel Ahmed," Automated breast profile segmentation for ROI detection using digital mammograms", S. ; Fac. of Comput. Sci. & Inf. Technol. , Univ. of Malaya, Kuala Lumpur, Malaysia.
  14. T. S. Subhashini,V. Ramalingam &S. Palanivel, "Pectoral Muscle removal and Detection of masses in Digital Mammogram using CCL",IJCA(0975-8887) Volume 1-No. 6.
  15. K. Thangavel, And M. Karnan,"Computer Aided Diagnosis in Digital Mammograms: Detection of microcalcifications by Meta Heuristic Algorithms", GVIP Journal,Volume 5,Issue 7 July 2005 .
  16. S. M Kwok,R chandrashekar, and Y. Attikiouzel,"Automatic Pectoral Muscle Segmentation on Mammograms by Straight Line Estimation and Cliff Detection",7th Australian an New Zealand Intelligent Information Systems Conference 18-21 November 2001,Perth,Western Australia.
  17. H. Mirzaalian,M. R. Ahmedzadeh, and S. Sadri, "Pectoral Muscle Segmentation on Digital Mammograms by nonlinear Diffusion Filtering",1-4244-1190-407/2007 IEEE,pp. 581-584.
  18. Arun Kumar & H. S. Sheshadri,"Breast Contour Extraction and Pectoral Muscle Sgementation in Digital mammograms",IJCSIS
  19. Sonali Nakade, P. T. Karule, "Mosaicture: Image Mosaic Generating System Using CBIR Technique," iccima, vol. 3, pp. 339-343, 2007 International Conference on Computational Intelligence and Multimedia Applications, 2007 DOI: http://doi. ieeecomputersociety. org/10. 1109/ICCIMA. 2007. 144}
Index Terms

Computer Science
Information Sciences

Keywords

Segmentation Mammogram Thresholding Pectoral Muscle

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