Breast cancer is leading cause of deaths in women. Diagnosis of breast cancer at an early stage is very challenging for radiologists. CAD systems are developed for early and accurate diagnosis. Mammography is one of the effective techniques for screening breast. Still the accuracy of interpretation after screening mammograms is generally affected by some factors, such as image quality, the radiologist’s level of expertise, and the high volume of cases. As pe current breast cancer screenings, 10%−25% of the tumors are missed by the radiologists [1].This paper contains introduction to mammography and survey of various statistical techniques used for finding texture features in diagnosis process.
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