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Experimental outcomes show that both of those anatomical and protocol variances are enabling things for DNN-based US reconstruction; and learning ways to discriminate diverse subjects and predefined forms of scanning paths equally significantly improve body prediction accuracy, quantity reconstruction overlap, amassed monitoring mistake and closing