Computerized Segmentation and Characterization of Breast Lesions in Dynamic Contrast-Enhanced MR Images Using Fuzzy c-Means Clustering and Snake Algorithm

<table>Histograms of the overlap measures on computerized methods: (a) AOR<sub>1</sub>; (b) AOR<sub>2</sub>. The closer the AOR value approximates to one, the better the segmentation performs. The GVF-FCMs method has the better performance among the two methods.</table>

Computational and Mathematical Methods in Medicine

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Figure 4: Computerized Segmentation and Characterization of Breast Lesions in Dynamic Contrast-Enhanced MR Images Using Fuzzy c-Means Clustering and Snake Algorithm 

Figure 4 | Computerized Segmentation and Characterization of Breast Lesions in Dynamic Contrast-Enhanced MR Images Using Fuzzy c-Means Clustering and Snake Algorithm 