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- W1847029488 abstract "In this paper, we present an automatic algorithm for the segmentation of the hip joint from 2D ultrasound data. In a level set framework, the proposed method starts from a segmentation of the nonlinear structure tensor in the tensor domain. This feature includes both gray-level and texture information. Upon this, prior anatomical knowledge is employed for the design of a shape prior. Instead of manually delineating the shape prior or creating it from a training set, which was not available, we propose to dynamically construct the shape prior using the anatomical knowledge as well as the segmentation flow itself. Preliminary results on real images showed promising results." @default.
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- W1847029488 title "Hip joint segmentation from 2D ultrasound data based on dynamic shape priors" @default.
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