%0 Journal Article %A E. B. Jo and J. H. Lee and J. Y. Park and S. M. Kim %D 2012 %J International Journal of Biomedical and Biological Engineering %B World Academy of Science, Engineering and Technology %I Open Science Index 64, 2012 %T Automatic Detection of Mass Type Breast Cancer using Texture Analysis in Korean Digital Mammography %U https://publications.waset.org/pdf/1180 %V 64 %X In this study, we present an advanced detection technique for mass type breast cancer based on texture information of organs. The proposed method detects the cancer areas in three stages. In the first stage, the midpoints of mass area are determined based on AHE (Adaptive Histogram Equalization). In the second stage, we set the threshold coefficient of homogeneity by using MLE (Maximum Likelihood Estimation) to compute the uniformity of texture. Finally, mass type cancer tissues are extracted from the original image. As a result, it was observed that the proposed method shows an improved detection performance on dense breast tissues of Korean women compared with the existing methods. It is expected that the proposed method may provide additional diagnostic information for detection of mass-type breast cancer. %P 62 - 66