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Experimental effects exhibit that each anatomical and protocol variances are enabling components for DNN-based US reconstruction; and learning ways to discriminate various topics and predefined different types of scanning paths each noticeably make improvements to frame prediction accuracy, quantity reconstruction overlap, accrued monitoring error