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Accurate image segmentation is a challenge task in image analysis and understanding, while fuzzy c-means clustering (FCM) with spatial constraints (FCM_S) is an effective algorithm suitable for this challenge. However, FCM_S has high computational complexity and still lacks enough robustness to noise and outliers, which will limit its usefulness. To overcome these difficulties, a local correntropy-based...
Tooth segmentation from dental computed tomography (CT) images with metal artifacts is challenging as metal artifacts make some of the crown boundaries unrecognizable. This letter proposes a semiautomatic method for crown segmentation from CT images with metal artifacts. A user manually selects a starting slice and initializes this slice. Then crown contours are segmented automatically from volumetric...
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