Experimental benefits show that each anatomical and protocol variances are enabling components for DNN-primarily based US reconstruction; and learning the way to discriminate diverse subjects and predefined different types of scanning paths equally appreciably boost frame prediction accuracy, volume reconstruction overlap, gathered monitoring error