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Early Breast Cancer Tumor Detection on Mammogram Images

International Journal of Computer Applications
© 2014 by IJCA Journal
Volume 87 - Number 14
Year of Publication: 2014
Naishil N. Shah
Tushar V. Ratanpara
C. K. Bhensdadia

Naishil N Shah, Tushar V Ratanpara and C K Bhensdadia. Article: Early Breast Cancer Tumor Detection on Mammogram Images. International Journal of Computer Applications 87(14):14-18, February 2014. Full text available. BibTeX

	author = {Naishil N. Shah and Tushar V. Ratanpara and C. K. Bhensdadia},
	title = {Article: Early Breast Cancer Tumor Detection on Mammogram Images},
	journal = {International Journal of Computer Applications},
	year = {2014},
	volume = {87},
	number = {14},
	pages = {14-18},
	month = {February},
	note = {Full text available}


This paper describes a system that enhances the mammogram to detect the possible lesion or tumor. First the pre-processing task is performed on the mammogram. The pre-processing phase has been sub divided into 4 parts to get the Region of interest and remove the external factors that affect the system in obtaining the possible lesion. Then the segmentation process is performed on the mammogram to get only those portions of the image which are greater than a particular predefined threshold value. After segmentation the edge detection process is performed on this segmented mammogram to display edges over masses. Morphological filtering is done to get masses highlighted with a border. Out of these masses the maximum probable mass that could be a lesion/tumor is highlighted. Finally this mass detected clear border mammogram image is superimposed over the original mammogram to enhance the mass from the mammogram.


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