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Breast Cancer Diagnosis by CAD

International Journal of Computer Applications
© 2014 by IJCA Journal
Volume 100 - Number 5
Year of Publication: 2014
Nidhal K. El Abbadi
Elaf J. Al Taee

Nidhal El K Abbadi and Elaf Al J Taee. Article: Breast Cancer Diagnosis by CAD. International Journal of Computer Applications 100(5):25-29, August 2014. Full text available. BibTeX

	author = {Nidhal K. El Abbadi and Elaf J. Al Taee},
	title = {Article: Breast Cancer Diagnosis by CAD},
	journal = {International Journal of Computer Applications},
	year = {2014},
	volume = {100},
	number = {5},
	pages = {25-29},
	month = {August},
	note = {Full text available}


Breast cancer is the most frequently diagnosed cancer and the leading cause of cancer death of female worldwide. Mammogram is one of the most excellent technologies currently being used for diagnosing breast cancer. Computer aided diagnosis helps the radiologists to detect abnormalities earlier than traditional procedures. In this paper, we suggested to use some of features selected to distinguish the benign and malignant breast cancer. Tumor segmented and denoising prior to classification. The accuracy of proposed system was 100%.


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