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Automatic Diagnosing of Suspicious Lesions in Digital Mammograms
International Journal of Advanced Computer Science and Applications
Breast cancer is the most common cancer and the leading cause of morbidity and mortality among women's age between 50 and 74 years across the worldwide. In this paper we've proposed a method to detect the suspicious lesions in mammograms, extracting their features and classify them as Normal or Abnormal and Benign or Malignant for diagnosing of breast cancer. This method consists of two major parts: The first one is detection of regions of interest (ROIs). The second one is diagnosing ofdoi:10.14569/ijacsa.2016.070568 fatcat:qivt6dyx3be2rbi4kbq6vtklhi