We apologize for a recent technical issue with our email system, which temporarily affected account activations. Accounts have now been activated. Authors may proceed with paper submissions. PhDFocusTM
CFP last date
20 November 2024
Reseach Article

Article:A Technique for Detection and Analysis of Human Breast Cancer

by Prof. Samir Kumar Bandyopadhyay, Indra Kanta Maitra
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 6 - Number 4
Year of Publication: 2010
Authors: Prof. Samir Kumar Bandyopadhyay, Indra Kanta Maitra
10.5120/1068-1396

Prof. Samir Kumar Bandyopadhyay, Indra Kanta Maitra . Article:A Technique for Detection and Analysis of Human Breast Cancer. International Journal of Computer Applications. 6, 4 ( September 2010), 18-23. DOI=10.5120/1068-1396

@article{ 10.5120/1068-1396,
author = { Prof. Samir Kumar Bandyopadhyay, Indra Kanta Maitra },
title = { Article:A Technique for Detection and Analysis of Human Breast Cancer },
journal = { International Journal of Computer Applications },
issue_date = { September 2010 },
volume = { 6 },
number = { 4 },
month = { September },
year = { 2010 },
issn = { 0975-8887 },
pages = { 18-23 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume6/number4/1068-1396/ },
doi = { 10.5120/1068-1396 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T19:54:33.343500+05:30
%A Prof. Samir Kumar Bandyopadhyay
%A Indra Kanta Maitra
%T Article:A Technique for Detection and Analysis of Human Breast Cancer
%J International Journal of Computer Applications
%@ 0975-8887
%V 6
%N 4
%P 18-23
%D 2010
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Imaging techniques can play an important role in helping perform breast biopsies, especially of abnormal areas. In this paper we try to identify cancer parts just using simple technique of isolation of insignificant portion of slide by color polarization. Here an attempt is made to analyze the biopsy slides for identification and detection of the area of affected cancer. In the era computer and telecommunications, pathologist’s still mount tissue slices on glass slides, treat them with appropriate stains and examine them through a microscope. Despite advances in staining techniques, it’s a process that has changed little over the last twenty years. Interpreting requires a great deal of skill and experience and it is also time consuming.

References
  1. Breast Cancer Facts & Figures, 2009-2010, American Cancer Society, Inc.
  2. FDA Web site, http://www.accessdata.fda.gov/scripts/ cdrh/cfdocs/cfMQSA/mqsa.c fm
  3. National Cancer Institute (NCI) Web site, http://www.cancernet.gov
  4. V. Mallapragada,N.Sarkar and T.K. Podder, “A Robotic System for Real-time Tumor Manipulation During Image guided Breast Biopsy”, IEEE International Conference on Bioinformatics and Bioengineering, October 14-17, 2007, Boston, MA, pp. 204-210.
  5. V. Mallapragada, N.Sarkar, and T.K. Podder, “Robot-Assisted Real-Time Tumor Manipulation for Breast Biopsy”, IEEE Transactions on Robotics, Vol. 25, Issue 2, April 2009, pp. 316-324.
  6. Cigdem Gunduz, Bulent Yener and S. Humayun Gultekin, “The cell graphs of cancer”, Bioinformatics, Oxford University Press, Vol 20, Issue 1, January, 2004, pp. 145-151.
  7. C. Cagatay Bilgin, Cigdem Demir, Chandandeep Nagi, and Bulent Yener, “Cell-Graph Mining for Breast Tissue Modelling and Classification”, 29th IEEE EMBS Annual International Conference, August 23-26, 2007, Lyon, France.
  8. A.M. Tang, D.F. Kacher,E.Y.Lam, K.K.Wong, F.A. Jolesz, and E.S. Yang, “Simultaneous Ultrasound and MRI System for Breast Biopsy: Compatibility Assessment and Demonstration in a Dual Modality Phantom”, IEEE Transactions on Medical Imaging, Vol. 27, Issue 2, February 2008, Davis, CA, USA, pp. 247-254.
  9. C. Zhu, E.S. Burnside, G.A. Sisney, L.R.Salkowski, J.M. Harter, B. Yu, and N. Ramanujam, “Fluorescence Spectroscopy: An Adjunct Diagnostic Tool to Image- Guided Core Needle Biopsy of the Breast”, IEEE Transactions on Biomedical Engineering, Vol. 56, Issue 10, October 2009, pp. 2518 – 2528
  10. Lin Yang, Wenjin Chen, Peter Meer, Gratian Salaru, Michael D. Feldman, and David J. Foran, “High Throughput Analysis of Breast Cancer Specimens on the Grid”, MICCAI 2007, Part I, October 29 - November 2, 2007, Brisbane, Australia, LNCS 4791/2007, pp. 617–625
  11. About Breast Cancer - A Quick Guide, Cancer Research UK’s Patient Information Website Cancer Help UK, July 2009
  12. Michaelson J, Satija S, Moore R, et al. The pattern of breast cancer screening utilization and its consequences. Cancer. Jan 1 2002, 94(1), pp 37-43
  13. Fine Needle Aspiration Cytology (F.N.A.C.) INV-34 Shuja Tahir, FRCSEd Riaz A Bhutta
  14. RadiologyInfo.org developed jointly by Radiological Society of North America and American College of Radiology.
  15. About.com: Breast Cancer. Open Surgical Breast Biopsy By Pam Stephan, About.com Guide Updated August 13, 2008, Health’s Disease and Condition content is reviewed by the Medical Review Board.
  16. Origene Web site, http://www.origene.com
Index Terms

Computer Science
Information Sciences

Keywords

Human Breast Cancer FNAC Mammography MRI Surgical biopsy Bi-color monochrome image Inverse color