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

<table>Scatter plot of the lesion areas segmented by computerized and radiologists’ manual delineation. The diagonal line is represented the most perfect segmentation performance. <i>Square</i> is for areas segmented by FCMs-based initial method, <i>circle</i> is for areas extracted from GVF-FCMs method.</table>

Computational and Mathematical Methods in Medicine

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Figure 3: Computerized Segmentation and Characterization of Breast Lesions in Dynamic Contrast-Enhanced MR Images Using Fuzzy c-Means Clustering and Snake Algorithm 

Figure 3 | Computerized Segmentation and Characterization of Breast Lesions in Dynamic Contrast-Enhanced MR Images Using Fuzzy c-Means Clustering and Snake Algorithm 