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This paper is leveraging the special modeling capabilities of convolutional neural networks as a way to build an close-to-conclusion method wherever they right forecast the ultrasound probe movement from the pictures on their own, and reveals that this novel approach substantially outperforms the typical method and it has immediate scientific appli