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:: Volume 12, Issue 1 (11-2022) ::
aumj 2022, 12(1): 69-76 Back to browse issues page
Diagnosis of Breast Cancer Using the Harris Extraction Algorithm in the Processing of Medical Images
Sahand shahalinejad , Atefeh Bahadori , Ali Niapour
Faculty of Electrical and Computer Engineering, Urumi Institute of Higher Education, Urmia, Iran
Abstract:   (705 Views)
Background and Aim: Identifying and demarcating the masses and diagnosing the disease in breast tissue is a serious challenge in diagnosing this cancer. Mammography is currently the most common method to diagnose breast cancer, in which incorrectly identifying the masses can lead to misdiagnosis or sampling of breast tissue. In this study, using feature extraction in medical image processing, we tried to make a diagnosis with better accuracy than in the past.
Materials and Methods: Mammographic image features were extracted using the Harris feature extraction algorithm. Mammographic images were analyzed using Matlab2019a software and ideal outputs were obtained.
Findings: Mammographic images were pre-processed and Harris algorithm was applied. In the output of the proposed algorithm, the accuracy and speed of detection of the algorithm were higher in comparison to other routine methods.
Conclusion: The purpose of extracting the Harris property is to make the raw data more usable for future statistical processing. it is expected that in the future, feature extraction will be more accurate, and more details will be provided to the machine vision systems to identify objects in the image.
 
Keywords: Diagnosis, Breast cancer, Harris Feature extraction, Medical image processing
Full-Text [PDF 534 kb]   (464 Downloads)    
Type of Study: Research | Subject: Special
Received: 2022/10/24 | Accepted: 2022/11/01 | Published: 2022/11/01
References
1. Wiechmann L, Kuerer HM. The molecular journey from ductal carcinoma in situ to breast cancer. Cancer. 2008; 112: 2130. [DOI:10.1002/cncr.23430]
2. Moore KL (1992) Clinically Oriented Anatomy, 3rd Ed. Baltimore: Williams & Wilkins,
3. Cotran RS, Kumar V, Robbins SL, eds. Pathologic Basis of Disease, 5th Ed. Philadelphia: W.B. Saunders, 1994
4. Tavassoli FA, Devillee P, Eds. World Health Organization classification of tumors: pathology and genetics of tumors of the breast and female genital organs. In: DeVita VT, Lawrence TS, Rosenberg SA, eds. Cancer Principles & Practice of Oncology, 8th Ed. Philadelphia:. Lippincott Williams & Wilkins , 2008.
5. DeVita VT, Lawrence TS, Rosenberg SA, eds. () Cancer Principles & Practice of Oncology, 8th Ed. Philadelphia: Lippincott Williams & Wilkins. 2008
6. The World Health Organization histological typing of breast tumors, 2nd ed. The World organization. Am J Clin Pathol . 1982; 78: 806. 8. Antoniou AC, Easton DF Models of genetic susceptibility to breast cancer. Oncogene 2006; 25: 5898. [DOI:10.1038/sj.onc.1209879]
7. B. Rahmatullah, A.T. Papageorghiou, J.A. Noble, Integration of local and global features for anatomical object detection in Ultrasound, Med. Image Comput. Comput. Assist. Interv. 2012: 402-409. [DOI:10.1007/978-3-642-33454-2_50]
8. G.I. Sanchez-Ortiz, G.J.T. Wright, N. Clarke, J. Declerck, A.P. Banning, J.A. Noble, Automated 3-D echocardiography analysis compared with manual delineations and SPECT MUGA, IEEE Trans. Med. Imaging 21 .2002: 1069-1076. [DOI:10.1109/TMI.2002.804434]
9. V. Grau, H. Becher, J.A. Noble, Phase-based registration of multi-view real-time three-dimensional echocardiographic sequences, Medical Image Computing and Computer-Assisted Intervention (MICCAI), Springer 2006: 612-619. [DOI:10.1007/11866565_75]
10. V. Grau, H. Becher, J.A. Noble, Registration of multiview real-time 3-D echocardiographic sequences, IEEE Trans. Med. Imaging 26 . 2007: 1154-1165. [DOI:10.1109/TMI.2007.903568]
11. D.J. Field, Relations between the statistics of natural images and the response properties of cortical cells, JOSA A 4. 1987: 2379-2394. [DOI:10.1364/JOSAA.4.002379]
12. A.V. Oppenheim, G.S. Lim, The importance of phase in signals, Proc. IEEE 69 .1981: 529-541. [DOI:10.1109/PROC.1981.12022]
13. [13] P. Kovesi, Symmetry and asymmetry from local phase, in: Tenth Australian Joint Conference on Artificial Intelligence, 1997.
14. D. Boukerroui, J.A. Nobel, M. Brady, On the choice of band-pass quadrature filters, J. Math. Imaging Vis. 21 (2004) 53-80. [29] R.S.J. Estepar, Local Structure Tensor for Multidimensional Signal Processing: Applications to Medical Image Analysis, Presses univ.de Louvain, 2007. [DOI:10.1023/B:JMIV.0000026557.50965.09]
15. G.D. Stetten, S.M. Pizer, Medial-node models to identify and measure objects in real-time 3-D echocardiography, IEEE Trans. Med. Imaging 18 .1999: 1025-1034. [DOI:10.1109/42.811314]
16. J. Huang, S. Ravi Kumar, M. Mitra, W. Zhu and R. Zabih, "Image indexing using color correlogram," In Computer Vision and Pattern Recognition, 1997. Proceedings. 1997 IEEE Computer Society Conference on, pp. 762-768. IEEE, 1997.
17. Pragati Kapoor, Dr. S.V.A.V. Prasad, Image Processing for Early Diagnosis of Breast Cancer Using Infrared Images, International Conference on Computer and Automation Engineering (ICCAE), 2010; 3 :564-566. [DOI:10.1109/ICCAE.2010.5451827]
18. Ng, E. Y. K., and Kee, E. C., Advanced integrated technique in breast cancer thermography, International Conference of Engineering in Medicine and Biology Society, 2006: 710 - 713.
19. Koay, J., Herry, C. H., &Frize, M. Analysis of Breast Thermography with Artificial Neural Network, In Proceedings 26th IEEE EMBS Conf. 2004: 1159- 1162.
20. W.E. Snyder, H. Qi Machine Vision Cambridge University Press, 2004.
21. Onega T, Duell EJ, Shi X, et al. Race versus place of service in mortality among Medicare beneficiaries with cancer. Cancer 2010; 116:2698- 2706. [DOI:10.1002/cncr.25097]
22. Berg WA. Tailored supplemental screening for breast cancer: what now and what next? AJR Am J Roentgenol 2009; 192:390-399. [DOI:10.2214/AJR.08.1706]
23. Litaker D, Tomolo A. Association of contextual factors and breast cancer screening: finding new targets to promote early detection. J Womens Health 2007; 16:36-45. [DOI:10.1089/jwh.2006.0090]
24. Howe HL, Wingo PA, Thun MJ, et al. Annual report to the nation on the status of cancer (1973 through 1998), featuring cancers with recent increasing trends. J Natl Cancer Inst 2001; 93:824-842. [DOI:10.1093/jnci/93.11.824]
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shahalinejad S, Bahadori A, niapour A. Diagnosis of Breast Cancer Using the Harris Extraction Algorithm in the Processing of Medical Images. aumj 2022; 12 (1) :69-76
URL: http://aums.abzums.ac.ir/article-1-1625-en.html


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Volume 12, Issue 1 (11-2022) Back to browse issues page
نشریه دانشگاه علوم پزشکی البرز Alborz University Medical Journal
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