Speckle noise reduction in ultrasound images for improving the metrological evaluation of biomedical applications: an overview
CA Duarte-Salazar, AE Castro-Ospina… - IEEE …, 2020 - ieeexplore.ieee.org
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 …
noise, which is inherent to ultrasound images, in order to improve the metrological …
Advancements in Deep Learning for B-Mode Ultrasound Segmentation: A Comprehensive Review
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 …
image segmentation is crucial in image analysis. Recently, deep learning-based methods …
Nonlocal means-based speckle filtering for ultrasound images
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 …
image and the performance of quantitative image analysis techniques. In this paper, an …
Real-time ultrasound image despeckling using mixed-attention mechanism based residual UNet
Y Lan, X Zhang - IEEE Access, 2020 - ieeexplore.ieee.org
Ultrasound imaging has been widely used for clinical diagnosis. However, the inherent
speckle noise will degrade the quality of ultrasound images. Existing despeckling methods …
speckle noise will degrade the quality of ultrasound images. Existing despeckling methods …
Probability density difference-based active contour for ultrasound image segmentation
B Liu, HD Cheng, J Huang, J Tian, X Tang, J Liu - Pattern Recognition, 2010 - Elsevier
Because of its low signal/noise ratio, low contrast and blurry boundaries, ultrasound (US)
image segmentation is a difficult task. In this paper, a novel level set-based active contour …
image segmentation is a difficult task. In this paper, a novel level set-based active contour …
Speckle noise removal in ultrasound images by first-and second-order total variation
Speckle noise contamination is a common issue in ultrasound imaging system. Due to the
edge-preserving feature, total variation (TV) regularization-based techniques have been …
edge-preserving feature, total variation (TV) regularization-based techniques have been …
Non-local adaptive hysteresis despeckling approach for medical ultrasound images
M Rajabi, H Golshan, RPR Hasanzadeh - Biomedical Signal Processing …, 2023 - Elsevier
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 …
quality and leads to a negative impact on further diagnosis. In this paper, aiming to alleviate …
Bayesian non local means-based speckle filtering
In ultrasound (US) imaging, denoising is intended to improve quantitative image analysis
techniques. In this paper, a new version of the non local (nl) means filter adapted for US …
techniques. In this paper, a new version of the non local (nl) means filter adapted for US …
Ultrasound image denoising using generative adversarial networks with residual dense connectivity and weighted joint loss
L Zhang, J Zhang - PeerJ Computer Science, 2022 - peerj.com
Background Ultrasound imaging has been recognized as a powerful tool in clinical
diagnosis. Nonetheless, the presence of speckle noise degrades the signal-to-noise of …
diagnosis. Nonetheless, the presence of speckle noise degrades the signal-to-noise of …
Ultrasound speckle reduction using wavelet-based generative adversarial network
The visual quality of ultrasound (US) images is crucial for clinical diagnosis and treatment.
The main source of image quality degradation is the inherent speckle noise generated …
The main source of image quality degradation is the inherent speckle noise generated …