Deep Learning in Medical Ultrasound Image Analysis: A Review

Ultrasound (US) is one of the most widely used imaging modalities in medical diagnosis. It has advantages real-time, low cost, noninvasive nature, and easy to operate. However, it also unique disadvantages strong artifacts noise high dependence on experience doctors. In order overcome shortcomings ultrasound diagnosis help doctor improve accuracy efficiency diagnosis, many computer aided (CAD) systems have been developed. recent years, deep learning achieved great success vision with its advantages. aspect US image analysis, exploited for potential more researchers apply CAD systems. this paper, we first introduce models commonly analysis; Second, review data preprocessing methods images, including augmentation, denoising, enhancement; Finally, analyze applications tasks (such as classification, object detection, reconstruction).