Detection of echocardiographic left ventricle boundaries using neural networks

Presents a new implementation of the radial search algorithm for the detection of left ventricle boundaries in short axis mid-papillary muscle echocardiographic images, using two cascaded artificial neural networks and a snake energy minimising function to create the final contour. The neural networks are used as statistical classifiers to give a probability measure of their classifications.<
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