Automated Detection of Breast Cancer’s Indicators in Mammogram via Image Processing Techniques
J. O. Olaleke, A. O. Adetunmbi, O. O. Obe & O. G. Iroju · Current Journal of Applied Science and Technology · 2015
Aims: The detection of abnormalities in mammographic images is an important step in the diagnosis of breast cancer. The indicators of cancer in mammograms can be in form of calcification, mass and stellate lesion. This paper proposed a two-stage procedure for the detection of the...