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Experimental results demonstrate that equally anatomical and protocol variances are enabling factors for DNN-centered US reconstruction; and learning the way to discriminate various topics and predefined varieties of scanning paths equally significantly strengthen frame prediction accuracy, volume reconstruction overlap, gathered tracking mistake a