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This paper is leveraging the unique modeling capabilities of convolutional neural networks as a way to build an end-to-stop process wherever they straight forecast the ultrasound probe movement from the photographs by themselves, and shows that this novel method appreciably outperforms the typical approach and has direct scientific applicability.In