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Experimental outcomes exhibit that the two anatomical and protocol variances are enabling components for DNN-based mostly US reconstruction; and learning ways to discriminate various subjects and predefined types of scanning paths the two substantially boost body prediction accuracy, quantity reconstruction overlap, accumulated tracking mistake and