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International Journal of Advances in Computer Science and Its Applications

A new approach for Classification and Detection of Suspicious Lesions in Mammograms based on AdaptiveThresholding



Breast cancer has become one of the most dangerous carcinomas for middle-aged and older women in all over the world recently [2]. Early detection of breast cancer increases the survival rate and increases the treatment options. Mammography is the most reliable detection method used in the clinic, and computer-aided diagnosis (CAD) could assist the radiologists in reading the mammograms [4]. In this paper, a new algorithm based on adaptive thresholding for classification and detection of suspicious masses in mammograms is described. The related work was implemented using image processing tools, and using the MATLAB.

No fo Author(s) : 2
Page(s) : 336 - 340
Electronic ISSN : 2250 - 3765
Volume 1 : Issue 1
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