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Experimental outcomes display that both anatomical and protocol variances are enabling things for DNN-based US reconstruction; and learning how to discriminate distinctive subjects and predefined types of scanning paths both of those noticeably strengthen frame prediction accuracy, quantity reconstruction overlap, accrued monitoring error and final