Comprehensive overview of backpropagation algorithm for digital image denoising

A Singh, S Kushwaha, M Alarfaj, M Singh - Electronics, 2022 - mdpi.com
Artificial ANNs (ANNs) are relatively new computational tools used in the development of
intelligent systems, some of which are inspired by biological ANNs, and have found …

Modified non-local means model for speckle noise reduction in ultrasound images

VB Shereena, G Raju - Congress on Intelligent Systems: Proceedings of …, 2022 - Springer
In the modern health care field, various medical imaging modalities play a vital role in
diagnosis. Among the modalities, Medical Ultrasound Imaging is the most popular and …

A Comprehensive Review of GAN-Based Denoising Models for Low-Dose Computed Tomography Images

M Sandhu, S Kushwaha, T Arora - International Journal of Image …, 2023 - World Scientific
Computed Tomography (CT) offers great visualization of the intricate internal body
structures. To protect a patient from the potential radiation-related health risks, the …

Nonlocal ultrasound image despeckling via improved statistics and rank constraint

H Yang, J Lu, Y Luo, G Zhang, H Zhang… - Pattern Analysis and …, 2023 - Springer
Ultrasound images are often contaminated by speckle noise during the acquisition process,
which influences the performance of subsequent applications. Hence, it is necessary to …

A novel optimised method for speckle reduction in medical ultrasound images

VB Shereena, G Raju - International Journal of Automation …, 2022 - inderscienceonline.com
The advancement of medical imaging techniques evolving from X-ray to PET images and
the medical image analysis helped medical experts to detect, diagnose and offer treatments …

An effective adaptive fuzzy filter for speckle noise reduction

S Kushwaha - Multimedia Tools and Applications, 2024 - Springer
SAR is a self-illuminating imaging method that produces high-resolution images in all
weather conditions, day and night. Many application scientists have accepted and used SAR …

Performance Analysis of Non-Local Means Denoising on Medical Images and the Impact of Filter Parameter Variation

P Prasad, J Anitha, B Biji - 2024 International Conference on …, 2024 - ieeexplore.ieee.org
In medical imaging, diagnostic accuracy depends on clear images, which are frequently
damaged by noise. To address this researchers have developed a number of noise …

Non-local means denoising of CT, MRI and US images: An investigation of performance under varying noise levels

P Prasad, J Anitha - AIP Conference Proceedings, 2024 - pubs.aip.org
Medical imaging's diagnostic accuracy hinges on clear images, often compromised by
noise. Up to now researchers have introduced a variety of noise reduction methods, each …

Using Teaching Learning-Based Optimization with Convolutional Neural Network to Detect Pneumonia Based On Chest X-Ray Images

RA Alenezi, SA Ludwig - 2024 International Conference on …, 2024 - ieeexplore.ieee.org
Chest X-ray imaging plays a vital role in the treatment of respiratory diseases such as
pneumonia. Recent technological innovations have significantly improved the efficiency of …

Low power very large scale integration (VLSI) design of finite impulse response (FIR) filter for biomedical imaging application.

LM Kannan, D Deepa - DYNA-Ingeniería e Industria, 2021 - search.ebscohost.com
Nowadays, the medical image processing techniques are using Very Large Scale Integrated
(VLSI) designs for improving the availability and applicability. The digital filters are important …