Ultrasound (US) imaging for medical purposes has been increasing in popularity over the
years. The US technology has some valuable strengths, such as it is harmless, very cheap …

Ultrasound is an important and low cost imaging modality used to study the internal organs
of human body and blood flow through blood vessels. It uses high frequency sound waves to …

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 …

Medical imaging applications in hospitals and laboratories have shown benefits in
visualizing patient's body for diagnosis and treatment of disease. Ultrasound (US) is …

Machine learning has been widely used in medical image analysis under an assumption
that the training and test data are under the same feature distributions. However, medical …

Medical image processing is used for the diagnosis of diseases by the physicians or
radiologists. Noise is introduced to the medical images due to various factors in medical …

Optical coherence tomography (OCT) is based on coherence detection of interferometric
signals and hence inevitably suffers from speckle noise. To remove speckle noise in OCT …

Diagnosing liver steatosis is an essential precaution for detecting hepatocirrhosis and liver
cancer in the early stages. However, automatic diagnosis of liver steatosis from ultrasound …

The paper presents a novel denoising method for ultrasound medical images, whose quality
is degraded by the peculiar phenomenon of speckle noise. The method is constructed step …

Synthetic aperture radar (SAR) images are difficult to analyze due to speckle noise, which is
a characteristic of multiplicative noise. Over the last few decades, a number of studies have …