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 …

In recent years, many studies have examined filters for eliminating or reducing speckle
noise, which is inherent to ultrasound images, in order to improve the metrological …

In image processing, restoration is expected to improve the qualitative inspection of the
image and the performance of quantitative image analysis techniques. In this paper, an …

Enhancement of ultrasound (US) images is required for proper visual inspection and further
pre-processing since US images are generally corrupted with speckle. In this paper, a new …

Images produced by ultrasound systems are adversely hampered by a stochastic process
known as speckle. A despeckling method based upon removing outlier is proposed. The …

Speckle noise negatively affects medical ultrasound image shape interpretation and
boundary detection. Speckle removal filters are widely used to selectively remove speckle …

In this letter, we aim to develop a deep adversarial despeckling approach to enhance the
quality of ultrasound images. Most of the existing approaches target a complete removal of …

Speckle noise is a major problem in medical ultrasound imaging that reduces the image
quality and leads to a negative impact on further diagnosis. In this paper, aiming to alleviate …

In recent years, the ultrasound imaging plays a major role in the medical field. It is the
diagnostic imaging technique in which the diagnosis has become more complex due to the …

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 …