Ultrasound (US) is generally preferred because it is of low-cost, safe, and non-invasive. US
image segmentation is crucial in image analysis. Recently, deep learning-based methods …

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 …

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 …

Ultrasound imaging systems provide the clinician with noninvasive, low-cost, and real-time
images that can help them in diagnosis, planning, and therapy. However, although the …

Optical coherence tomography (OCT) has become a very promising diagnostic method in
clinical practice, especially for ophthalmic diseases. However, speckle noise and low …

In this paper, we consider a variational restoration model consisting of the I-divergence as
data fitting term and the total variation semi-norm or nonlocal means as regularizer for …

Ultrasound (US) imaging exhibits considerable difficulties for medical visual inspection and
for development of automatic analysis methods due to speckle, which negatively affects the …

A new filtering method to remove Rician noise from magnetic resonance images is
presented. This filter relies on a robust estimation of the standard deviation of the noise and …

Ultrasound images are widespread in medical diagnosis for muscle-skeletal, cardiac, and
obstetrical diseases, due to the efficiency and non-invasiveness of the acquisition …

A new and complementary method to assess image quality is presented. It is based on the
comparison of the local variance distribution of two images. This new quality index is better …