Experimental success present that the two anatomical and protocol variances are enabling elements for DNN-primarily based US reconstruction; and learning ways to discriminate diverse topics and predefined kinds of scanning paths both noticeably make improvements to frame prediction accuracy, volume reconstruction overlap, amassed monitoring mistake