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Experimental effects clearly show that the two anatomical and protocol variances are enabling variables for DNN-based mostly US reconstruction; and learning the way to discriminate various topics and predefined types of scanning paths the two appreciably increase body prediction precision, volume reconstruction overlap, gathered tracking mistake an

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