Department of Physics, Dire Dawa University, Ethiopia
Breast cancer is the most common cause of death in women. Early detection of this disease and diagnosis can cut the passing of women. Segmentation is an imperative technique in digital image analysis science. The aim of this work is focused on image analysis of breast tumors using image processing. The infected area of breast tumor identified by applying edge detection, filling gaps, dilating gaps, removing the border, smoothing objects have been used. This method appears more familiar to radiologists to check the abnormality of benign and malignant breast tumors. The analysis shows that both benign and malignant tumors have well-detected to find the tumors at the first stages.
Key words: Breast tumor, segmentation, detection, MIAS, benign, malignant.
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