Grammatical Fireworks Algorithm Method for Breast Lesion Segmentation in DCE MR Images

For cancer detection and tissue characterization, DCE-MRI segmentation lesion is a critical image analysis task. To segment breast MR images for detection, hard-clustering technique with Grammatical Fireworks algorithm (GFWA) proposed in this paper. GFWA Swarm Programming (SP) system automatically generating computer programs any language. used to create the cluster core clustering article. The presence of noise intensity inhomogeneities complicates process. As result, are denoised at start, strength corrected preprocessing stage. GFWA-based preprocessed images. Finally, from segmented images, lesions removed. approach tested on 5 patients’ 25 slices. method’s experimental findings compared those (GS)-based K-means algorithm. method outperforms other approaches terms both quantitative qualitative results.