The despeckling of ultrasound images contributes to the enhancement of image quality and
facilitates precise treatment of conditions such as tumor cancers. However, the use of …

Purpose Breast ultrasound (BUS) is an important breast imaging tool. Automatic BUS image
segmentation can measure the breast tumor size objectively and reduce doctors' workload …

This paper presents a multi-scale hybrid method for speckle reduction in ultrasound (US)
images. Speckle is removed by guided filtering, directional filtering, and fractional order …

In this paper, we present a new method for multitask learning applied to ultrasound
beamforming. Beamforming is a critical component in the ultrasound image formation …

Medical ultrasonic imaging is affected by an inherent phenomenon called speckle noise,
which prevents the identification of details in images. While several state-of-the-art methods …

Whether ultrasound despeckling is necessary for deep learning based ultrasound image
segmentation is an unsolved problem in automatic ultrasound diagnosis and deep learning …

Despite its wide use in medicine, ultrasound imaging faces several challenges related to its
poor signal-to-noise ratio and several sources of noise and artefacts. Enhancing ultrasound …

Despite today's prevalence of ultrasound imaging in medicine, ultrasound signal-to-noise
ratio is still affected by several sources of noise and artefacts. Moreover, enhancing …

Ultrasound image segmentation deep learning still has performance bottleneck due to an
inherent speckle noise having complex non-Gaussian statistics in the images. Denoised …

Medical ultrasonic imaging is affected by an inherent phenomenon called speckle noise,
which prevents the identification of details in images. While several state-of-the-art methods …