Experimental final results show that each anatomical and protocol variances are enabling aspects for DNN-based mostly US reconstruction; and learning tips on how to discriminate distinct subjects and predefined sorts of scanning paths both equally substantially strengthen body prediction precision, volume reconstruction overlap, accrued monitoring