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Experimental final results demonstrate that equally anatomical and protocol variances are enabling elements for DNN-primarily based US reconstruction; and learning how to discriminate various subjects and predefined types of scanning paths both of those noticeably boost body prediction accuracy, quantity reconstruction overlap, gathered tracking er