Deblurring masked image modeling for ultrasound image analysis

Q Kang, Q Lao, J Gao, J Liu, H Yi, B Ma, X Zhang… - Medical Image …, 2024 - Elsevier
Recently, large pretrained vision foundation models based on masked image modeling
(MIM) have attracted unprecedented attention and achieved remarkable performance across …

Performance evaluation of linear and nonlinear filters for despeckling B mode foetal heart ultrasound images

N Sriraam, V Punya Prabha, TV Sushma… - The Imaging Science …, 2024 - Taylor & Francis
Early detection of congenital heart disease (CHD), one of the most commonly occurring
congenital defects, is important to reduce mortality rates. The major drawback of ultrasound …

[PDF][PDF] Speckle Noise Suppression in Ultrasound Images Using Modular Neural Networks.

G Karthiha, S Allwin - Intelligent Automation & Soft Computing, 2023 - cdn.techscience.cn
In spite of the advancement in computerized imaging, many image modalities produce
images with commotion influencing both the visual quality and upsetting quantitative image …

Removal of speckle noises from ultrasound images using parallel convolutional neural network

Z Shen, C Tang, M Xu, Z Lei - Circuits, Systems, and Signal Processing, 2023 - Springer
Speckle noises widely exist in ultrasound images. They seriously affect the quality of images
and cause the doctor to make mistakes in diagnosis. In this paper, we propose a three-path …

Speckle noise reduction from medical images using Gaussian fuzzy membership function

P Biswas, KK Halder - 2021 3rd International Conference on …, 2021 - ieeexplore.ieee.org
The primary concept of this paper is a fuzzy membership function-based filter with the
expertise to reduce speckle noise that is often utilized in clinical diagnosis such as …

An accurate paradigm for denoising degraded ultrasound images based on artificial intelligence systems

FE Al‐Tahhan, ME Fares - Microscopy Research and …, 2024 - Wiley Online Library
Ultrasound images are susceptible to various forms of quality degradation that negatively
impact diagnosis. Common degradations include speckle noise, Gaussian noise, salt and …

Intelligent estimation of noise and blur variances using ANN for the restoration of ultrasound images

MS Uddin, KK Halder, M Tahtali, AJ Lambert… - Applied …, 2016 - opg.optica.org
Ultrasound (US) imaging is a widely used clinical diagnostic tool in medical imaging
techniques. It is a comparatively safe, economical, painless, portable, and noninvasive real …

Image deblurring with impulse noise using alternating direction method of multipliers and Lucy-Richardson method

U Tigga, J Jha - 2016 8th International Conference on …, 2016 - ieeexplore.ieee.org
In this paper, two different schemes are proposed to add noise in the image. Gaussian Filter
or Average Filter has been proposed for blurring the image. Impulse noise is used in two …

Dark channel processing for medical image enhancement

A Singh, A Chandra, R Kumar… - … IEEE International WIE …, 2019 - ieeexplore.ieee.org
The images obtained through biomedical instruments are not always satisfactory. They are
often blurred or vague. Doctors or researchers undergo a lot of problems because of these …

A novel automated classification technique for diagnosing liver disorders using wavelet and texture features on liver ultrasound images

R Rani Krithiga, C Lakshmi - Multimedia Tools and Applications, 2020 - Springer
A novel automated classification technique for diagnosing liver disorders is contributed in
this paper by utilizing the merits of wavelet and texture features of ultrasound images. In this …