Description: The aim of this paper is to describe a novel and completely
automated technique for carotid artery (CA) recognition,
far (distal) wall segmentation, and intima–media thickness (IMT)
measurement, which is a strong clinical tool for risk assessment for cardiovascular diseases. The architecture of completely automated multiresolution edge snapper (CAMES) consists of the following two stages: 1) automated CA recognition based on a combination of scale–space and statistical classification in a multiresolution framework and 2) automated segmentation of lumen–intima
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