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Experimental final results exhibit that both equally anatomical and protocol variances are enabling factors for DNN-based mostly US reconstruction; and learning how to discriminate distinctive topics and predefined kinds of scanning paths the two significantly improve frame prediction precision, volume reconstruction overlap, accumulated monitoring