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LEFT ATRIUM SHAPE RECONSTRUCTION FROM SPARSE LOCATION MEASUREMENTS USING NEURAL NETWORKS
LEFT ATRIUM SHAPE RECONSTRUCTION FROM SPARSE LOCATION MEASUREMENTS USING NEURAL NETWORKS
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机译:使用神经网络从稀疏位置测量重建左房形状
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摘要
A method includes, in a processor, receiving example representations of geometrical shapes of a given type of organ. In a training phase, a neural network model is trained using the example representations. In a modeling phase, the trained neural network model is applied to a set of location measurements acquired in an organ of the given type, to produce a three-dimensional model of the organ.
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