Guest Editorial: Deep Learning in Medical Ultrasound-From Image Formation to Image Analysis

Over the past years, deep learning has established itself as a powerful tool across a broad spectrum of domains. While deep neural networks initially found nurture in the computer vision community, they have quickly spread over medical imaging applications, ranging from image analysis and interpretation to-more recently-image formation and reconstruction. Deep learning is now rapidly gaining attention in the ultrasound community, with many groups around the world exploring a wealth of opportunities to improve ultrasound imaging in several key aspects, ranging from beamforming and compressive sampling to speckle suppression, segmentation, and super-resolution imaging.