Over the past two decades, medical imaging and diagnostic techniques have gained
immense attraction due to the rapid development in computing, internet, data storage and …

Speckle is a granular disturbance, usually modeled as a multiplicative noise, that affects
synthetic aperture radar (SAR) images, as well as all coherent images. Over the last three …

With the advent of advancements in deep learning approaches, such as deep convolution
neural network, residual neural network, adversarial network; U-Net architectures are most …

Breast lesion detection using ultrasound imaging is considered an important step of
computer-aided diagnosis systems. Over the past decade, researchers have demonstrated …

Depth completion aims to recover dense depth maps from sparse depth measurements. It is
of increasing importance for autonomous driving and draws increasing attention from the …

Although there has been a lot of progress in the general area of signal denoising, noise
removal remains a very challenging problem in real-world communication systems …

Breast cancer is the second leading cause of death for women all over the world. Since the
cause of the disease remains unknown, early detection and diagnosis is the key for breast …

This paper reviews ultrasound segmentation methods, in a broad sense, focusing on
techniques developed for medical B-mode ultrasound images. First, we present a review of …

Breast cancer is one of the leading causes of cancer death among women worldwide. In
clinical routine, automatic breast ultrasound (BUS) image segmentation is very challenging …

With traditional beamforming methods, ultrasound B-mode images contain speckle noise
caused by the random interference of subresolution scatterers. In this paper, we present a …