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Experimental results show that the two anatomical and protocol variances are enabling components for DNN-based US reconstruction; and learning tips on how to discriminate distinct subjects and predefined sorts of scanning paths the two considerably increase body prediction accuracy, volume reconstruction overlap, gathered monitoring error and closi