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Locating the endocardium and epicardium in the echocardiograms is very hard with conventional segmentation methods in the lack of prior information. This paper presents a cardiac wall locating technique by introducing local and global priors through Adaboost and level sets. The global prior is incorporated into the system by regularly reinitializing the level set surface under the influence of the...
Extracting endocardium and epicardium from echocardiographic images is a challenging task because of large amounts of noise, signal drop-out, unrelated structures, and unseen wall parts. This paper introduces a new technique that automatically extracts cardiac borders by incorporating local and global priors through boosting and level set methods. The shape-based global prior is incorporated into...
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