Medical Image Segmentation Using Multikernel Method

Abstract

“This work introduces the Multi-Kernel Fuzzy C-Means (MKFCM) algorithm for medical image segmentation, demonstrating its superior performance over traditional Fuzzy C-Means (FCM) and Kernel Fuzzy C-Means (KFCM). By integrating multiple kernels, MKFCM effectively handles complex data distributions, noise, achieving higher accuracy and robustness. Quantitative evaluations using Dice Coefficient and Intersection over Union (IOU) scores confirm MKFCM's enhanced segmentation capabilities, making it a highly effective tool for precise medical imaging.”