@article{Abualroos_Kabir_2019, title={Computer Aided Diagnosis in Mammography Microcalcification Analysis}, volume={7}, url={https://www.ajouronline.com/index.php/AJAS/article/view/5591}, DOI={10.24203/ajas.v7i2.5591}, abstractNote={<p><strong><span style="text-decoration: underline;">Objectives</span></strong>: The project aims to resolve missed or overlooked breast cancer lesions particularly due to dense breast structure. Dense breast makes microcalcifications difficult to be detected as both normal breast tissue and microcalcification appear white on mammograms. The carry out the project, a breast phantom was fabricated, and ImageJ software was used to improve the visibility of microcalcification.</p><p><strong><span style="text-decoration: underline;">Methods</span></strong>: The phantom was fabricated, and the physical properties showed similarity to that of breast tissues. Calcium-Carbonate powder simulated microcalcifications. Images were acquired using CR mammography. The images acquired were post processed by ImageJ software through applying thresholding technique to help detection of subtle microcalcifications.</p><p><strong><span style="text-decoration: underline;">Results</span></strong>: Microcalcifications appearance enhanced by threshold technique. The resultant images showed increasing in the contrast value at ROI from 3.9, 2.2, and 4.2 to 7.2, 6.8, and 7.6 respectively.</p><p><strong><span style="text-decoration: underline;">Conclusion</span></strong>: The differences in contrast values were more consequential in areas of low Calcium Carbonate concentration after applying threshold technique.</p>}, number={2}, journal={Asian Journal of Applied Sciences}, author={Abualroos, Nadin Jamal and Kabir, Norlaili Ahmad}, year={2019}, month={Apr.} }