The presence of tiny deposits of calcified tissue in the breast remains an important indicator of early breast cancer. However, the standard diagnostic, the X-ray mammogram, cannot always distinguish between benign tissue artifacts and such microcalcifications because there is a great diversity in the shape, size, and distributions of these deposits. Moreover, there is only very low contrast between malignant, cancerous areas and the surrounding bright structures in the mammogram.
Writing in the International Journal of Biomedical Engineering and Technology, a team from Algeria explain how they have devised an effective approach based on mathematical morphology for detection of microcalcifications in digitized mammograms. The approach first extracts the breast area from the image, removes unwanted artifacts and then boosts contrast and eliminates noise from the image.
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