Preprocessing and Enhancement for Mammogram Images Using Unified Approach
Journal Title: International Journal of Computer & organization Trends(IJCOT) - Year 2013, Vol 3, Issue 3
Abstract
Breast cancer is one of the foremost causes for the increase in mortality among women, especially in developed countries. Micro-classifications in breast tissue is one of the most incident signs considered by radiologist for an early identification of breast cancer is one of the most common forms of cancer between women. Mammography has been shown to be the most successful and reliable method for early signs of breast cancer such as masses, bilateral asymmetry architectural distortion and calcifications. In this paper the thresholding method is applied for the breast boundary identification and a new proposed modified tracking algorithm is introduced for pectoral muscle fortitude in Mammograms.
Authors and Affiliations
A. Srikarthik , R. Sivakumar
Keywords
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- EP ID EP109949
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