@article{Chowdhury_Hasan_Ahmed_Rahman_Reza_2021, title={Effective Strain Image Sequence Selection by Using Semi-Automated Image Processing Technique}, volume={7}, url={https://www.banglajol.info/index.php/GUBJSE/article/view/54022}, DOI={10.3329/gubjse.v7i0.54022}, abstractNote={<p>One fourth of the cancer detected in women worldwide is breast cancer which leads this as a major threat for women. There are many methods of detecting cancer among which ultra-sound strain imaging is one of the promising techniques. However, in strain sequence, not all the frames show clear tumor visibility. Consequently, in this paper we tested some well-defined algorithms to find only those frames where the tumor is comparatively clearly visible. We have used Mean Pixel Difference (MPD) and Gray- Level Co-occurrence Matrix (GLCM) to find the frames with better tumor visibility. We have tested our methods in several real-life cases and the results have been examined by a professional doctor. The MPD has an accuracy of 96.2% and the GLCM. Contrast has that of 55.55%.</p> <p>GUB JOURNAL OF SCIENCE AND ENGINEERING, Vol 7, Dec 2020 P 8-13</p>}, journal={GUB Journal of Science and Engineering}, author={Chowdhury, Gulam Mahfuz and Hasan, Md Mahedi and Ahmed, Asif and Rahman, Md Wahid Tousif and Reza, Md Taslim}, year={2021}, month={Jul.}, pages={8–13} }