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Experimental effects demonstrate that both of those anatomical and protocol variances are enabling variables for DNN-primarily based US reconstruction; and learning the best way to discriminate distinctive subjects and predefined forms of scanning paths equally significantly strengthen frame prediction accuracy, volume reconstruction overlap, amass