I. Introduction
Images produced by an Ultrasound scanner provide texture-filled cross-sectional views of the human anatomy. The texture is usually the signature of the scanner-type/manufacturer and emerges from the physics behind image acquisition. Automatic interpretation of Ultrasound images using Computer Vision techniques is fraught with inaccuracies owing to the characteristic "noise" seen in them. Deep Learning has made traditional methods obsolete by achieving hitherto unseen levels of accuracy in image classification and segmentation tasks.