Engineering Commons^™

Universal And Stable Medical Image Generation For Tissue Segmentation (The Unistable Method), Ihab Elaff, Ali El-Kemany, Mohammed Kholif

Turkish Journal of Electrical Engineering and Computer Sciences

Segmentation of medical images has been one of the most important research areas because of its impact in modeling and diagnosing the structure and the functions of various organs. The lack of unique solution for the segmentation problem of medical images is caused by the wide range of selections among different medical imaging modalities and clustering methods where each setting has its own estimates for solving this problem. The unistable method is a novel method that generates enhanced images with high contrast, which can reduce boundary overlap between different tissues. This is accomplished by fusion of different clustering maps, which …