In diagnosis of diseases Ultrasonic devices are frequently used by healthcare professionals.
The main problem during diagnosis is the distortion of visual signals obtained which is due …

Medical ultrasound is a powerful nonivasive diagnostics tool. Due to physical factors of the
diagnostics system, ultrasound generated images usually contain some noise where specle …

In the present work a new approach for maximum depth of ultrasound signal visualization
has been proposed by means of a tissue mimicking phantoms: the novel method is based …

A challenge for the researchers in medical ultrasound images is speckle noise reduction. In
our work, we introduced a new method which reduces speckle noise in ultrasound images …

Speckle noise in ultrasound images (US) is a serious constraint leading to false therapeutic
decision making in computer aided diagnosis. This highlights the utility of speckle …

Background To quantitatively evaluate the effectiveness of the Noise2Noise (N2N) model, a
deep learning (DL)-based noise reduction algorithm, on enhanced depth imaging-optical …

This paper focuses on the issue of speckle noise and its suppression. Firstly, the
multiplicative speckle noise model and its mathematical formulation are introduced. Then …

Synthetic Aperture Radar (SAR) segmentation is often acknowledged as a difficult task due
to the presence of speckle noise because of which traditional segmentation algorithm fail to …

Synthetic aperture radar (SAR) is an active imaging system that can achieve high
resolutions both in range and azimuth. Speckle noise is one of the most critical disturbances …

Medical digital images and medical image processing represent an important subfield in
computer vision. Different algorithms and methods for analysis and improvement of various …