Call for Paper - October 2019 Edition
IJCA solicits original research papers for the October 2019 Edition. Last date of manuscript submission is September 20, 2019. Read More

Real Time Intelligent Thermal Analysis Approach for Early Diagnosis of Breast Cancer

International Journal of Computer Applications
© 2010 by IJCA Journal
Number 5 - Article 3
Year of Publication: 2010
Pragati Kapoor
Dr. S.V.A.V Prasad
Ekta Bhayana

Pragati Kapoor, S V A V Prasad and Ekta Bhayana. Article: Real Time Intelligent Thermal Analysis Approach for Early Diagnosis of Breast Cancer. International Journal of Computer Applications 1(5):22–25, February 2010. Published By Foundation of Computer Science. BibTeX

	author = {Pragati Kapoor and S.V.A.V Prasad and Ekta Bhayana},
	title = {Article: Real Time Intelligent Thermal Analysis Approach for Early Diagnosis of Breast Cancer},
	journal = {International Journal of Computer Applications},
	year = {2010},
	volume = {1},
	number = {5},
	pages = {22--25},
	month = {February},
	note = {Published By Foundation of Computer Science}


This paper proposes an approach for early diagnosis of breast cancer using high definition thermal imaging. Breast cancer is a common and dreadful disease in women. The advanced computer technology available today can be utilized to automate the analysis and assist in decision making .This paper attempts to identify the use of infrared thermal imaging or thermography of the breast as a non-invasive adjunctive diagnostic methodology for breast cancer. Thermal imaging, as a test of physiology can detect subtle changes in breast temperature that indicate a variety of breast diseases and abnormalities.


    [1] Liu Yong, Li Kai-Yang, Zhang Xian-Lin, Sun Shaeng-Rong, Wan Yin-Wen, “Analyzing method of inner heat source in breast based on infrared imaging and clinical application”, 2007 Ist International Conference on Bioinformatics and Biomedical Engineering[C], ICBBE, 2007,p.853-856
    [2] Cauchie Julien, Fiolet Valerie, Villers, Didier, “Optimization of an Hough transform algorithm for the search of a center”, pattern Recognition [J], v 41, n2, February 2008, pp. 567-574
    [3] Xujia Qin, Jionghui jiang, Weihong Wang, Zhang Fan, “Canny operator based level set segmentation algorithm for medical images” 2007 Ist International Conference on Bioinformatics & Biomedical Engineering [C], ICBBE, 2007, pp.892-895
    [4] Yu Hongshan, Wang Yaonan, “An improved canny edge detection algorithm” [J], Computer Engineering and Application, 2004, 40(20), pp. 27-29
    [5] PAN Qi-ming, CHENG Yong-mei, YANG Tao, PAN Quan, ZHAO Chun-hui, “Automatic Validating and clustering method for trajectories of moving objects in real scene” [J], Application Research of computers,2007, 24(4), pp. 158-160J. Clerk Maxwell, A treatise on Electricity and Magnetism, 3rd ed., vol. 2. Oxford: Clsrendon, 1892, pp. 68-73.
    [6] M Frize, C Herry, R Roberge, “Processing of thermal images to detect Breast Cancer: A comparison,” in proc.2nd Joint IEEE EMBS/BMES Conf., Houston, TX, pp. 1159-1160, 2002.
    [7] RD Leek, “The prognostics role of angiogenesis in breast cancer,” Anticancer research, vol.21, no.6B, pp. 4325-31, 2001.
    [8] Sudharshan N.M., Ng E.Y.K., “ Surface temperature distribution of a breast with/without tumor,” Int,J.Comput. Meth. Biomechanics Biomed. Engng.Vol.2, pp. 187-199, 1999
    [9] L. Shen, R.M. Rangayyan, Desautels. J. Measures of asymmetry in mammograms based upon the shape spectrum. In Proceedings of the Annual Conf. on EMB, volume 15, pages 48-49, San Diego, CA, 1993.
    [10] J.Canny. A Computational approach to edge detection. IEEE Trans. Pattern Anal. and Machine Intell., 6:679-698, 1995.