Computer Aided Detection of Suspicious Masses and Micro-Calcifications

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	Similar Articles Articles by M. Hanmandlu Articles by D. Vineel Articles by Vamsi Krishna Madasu Articles by Shantaram Vasikarla

Fifth International Conference on Information Technology: New Generations (itng 2008)

April 07-April 09

ISBN: 978-0-7695-3099-4

	ASCII Text	x
	M. Hanmandlu, D. Vineel, Vamsi Krishna Madasu, Shantaram Vasikarla, "Computer Aided Detection of Suspicious Masses and Micro-Calcifications," Information Technology: New Generations, Third International Conference on, pp. 789-794, Fifth International Conference on Information Technology: New Generations (itng 2008), 2008.

	BibTex	x
	@article{ 10.1109/ITNG.2008.253, author = {M. Hanmandlu and D. Vineel and Vamsi Krishna Madasu and Shantaram Vasikarla}, title = {Computer Aided Detection of Suspicious Masses and Micro-Calcifications}, journal ={Information Technology: New Generations, Third International Conference on}, volume = {0}, year = {2008}, isbn = {978-0-7695-3099-4}, pages = {789-794}, doi = {http://doi.ieeecomputersociety.org/10.1109/ITNG.2008.253}, publisher = {IEEE Computer Society}, address = {Los Alamitos, CA, USA}, }

	RefWorks Procite/RefMan/Endnote	x
	TY - CONF JO - Information Technology: New Generations, Third International Conference on TI - Computer Aided Detection of Suspicious Masses and Micro-Calcifications SN - 978-0-7695-3099-4 SP789 EP794 A1 - M. Hanmandlu, A1 - D. Vineel, A1 - Vamsi Krishna Madasu, A1 - Shantaram Vasikarla, PY - 2008 KW - Breast cancer KW - Microcalcifications KW - Texture KW - Entropy KW - Fuzzy image segmentation VL - 0 JA - Information Technology: New Generations, Third International Conference on ER -

DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/ITNG.2008.253

Mammography is considered as the most effective means for breast cancer diagnosis. This paper introduces two separate techniques for mass and micro-calcification segmentation in digital mammograms. Segmentation of masses consists of three steps- background subtraction, fuzzy texture representation and entropic theresholding. Similarlymicro-calcifications are also segmented in three stages – background subtraction, Laplacian of Gaussian filtering and contrast estimation followed by thresholding. Both the techniques are verified with the markings given by the radiologist and are found to be quite effective tools in diagnosing breast cancer.

Index Terms:

Breast cancer, Microcalcifications, Texture, Entropy, Fuzzy image segmentation

Citation:

M. Hanmandlu, D. Vineel, Vamsi Krishna Madasu, Shantaram Vasikarla, "Computer Aided Detection of Suspicious Masses and Micro-Calcifications," itng, pp.789-794, Fifth International Conference on Information Technology: New Generations (itng 2008), 2008

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