This paper is leveraging the special modeling capabilities of convolutional neural networks so as to build an close-to-conclusion method where they specifically predict the ultrasound probe movement from the pictures on their own, and shows this novel technique substantially outperforms the standard strategy and it has immediate medical applicabili