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It is valuable to segment carotid atherosclerotic plaques in contrast-enhanced ultrasound (CEUS) images. Traditional methods for plaque segmentation neglect the temporal information in video images, and it limits the accuracy of the segmentation. We propose an algorithm for accurate segmentation of plaques in CEUS images using spatial-temporal analysis and snakes. First, the spatial correlation of...
A multi-scale fuzzy c-means method integrated with particle swarm optimization (MsFCM-PSO) is proposed for ultrasound image segmentation. First, speckle reducing anisotropic diffusion is used to suppress noise in an ultrasound image and construct a series of images at multiple scales. Then the particle swarm optimization is incorporated into the multi-scale fuzzy c-means (MsFCM) to search for the...
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