Particle swarm optimization based fast fuzzy c-means clustering for liver ct segmentation

A Fast Fuzzy C-Means (FFCM) clustering algorithm, optimized by the Particle Swarm Optimization (PSO) method, referred to as PSOFFCM, has been introduced and applied on liver CT images. Compared to FFCM, the proposed approach leads to higher values in terms of Jaccard Index and Dice Coefficient, and thus, indicating higher similarity with the ground truth provided. Based on ANOVA analysis,PSOFFCMshowed better results in terms ofDiceCoefficient. It also showed better mean values in terms of Jaccard Index and Dice Coefficient based on the box and whisker plots. © Springer International Publishing Switzerland 2016.