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Experimental outcomes clearly show that equally anatomical and protocol variances are enabling variables for DNN-primarily based US reconstruction; and learning how to discriminate different topics and predefined kinds of scanning paths each noticeably boost frame prediction precision, volume reconstruction overlap, accumulated monitoring error and