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Experimental results present that both anatomical and protocol variances are enabling variables for DNN-centered US reconstruction; and learning how to discriminate unique subjects and predefined varieties of scanning paths both of those appreciably make improvements to body prediction accuracy, quantity reconstruction overlap, amassed tracking err