MRI imaging, comparison of MRI with other modalities, noise in MRI images and machine learning techniques for noise removal: a review
Background: Medical imaging is to assume greater and greater significance in an efficient
and precise diagnosis process. Discussion: It is a set of various methodologies which are …
and precise diagnosis process. Discussion: It is a set of various methodologies which are …
Nonconvex Rician noise removal via convergent plug-and-play framework
Restoring images corrupted by Rician noise is a challenging issue in medical image
processing. In the existing methods, the model-driven method can not recover the images …
processing. In the existing methods, the model-driven method can not recover the images …
A practical guide to image processing in the creation of 3D models for orthopedics
Abstract Three-dimensional (3D) computer modelling and 3D printing technology is
approaching a commodity level in many areas, including medical applications. 3D computer …
approaching a commodity level in many areas, including medical applications. 3D computer …
Noise based computation of decay control parameter in nonlocal means filter for MRI restoration
The noise suppression and edge preservation offered by Nonlocal Means (NLM) filter
depends on the selection of decay control parameter and radii of search and similarity …
depends on the selection of decay control parameter and radii of search and similarity …
MRI images enhancement using genetic programming based hybrid noise removal filter approach
Background: Medical Resonance Imaging (MRI) images degradation is still a challenging
task. The noise is a compulsory destructive factor that gets added in MRI images due to …
task. The noise is a compulsory destructive factor that gets added in MRI images due to …
Flexible parameter selection methods for Rician noise removal with convergence guarantee
Restoring images corrupted by Rician noise is a challenging issue in the field of medical
image processing. In the existing variational methods, there is a balancing parameter …
image processing. In the existing variational methods, there is a balancing parameter …
Retracted: Complex image denoising framework with CNN‐wavelet under concurrency scenarios for informatics systems
L Wang, W Huang, S Zhang… - … and Computation: Practice …, 2021 - Wiley Online Library
Image denoising based on convolutional neural networks and wavelet transform is a novel
approach for the applications. In the image acquisition process, images are often …
approach for the applications. In the image acquisition process, images are often …
Modified particle swarm optimization and fuzzy regularization for pseudo de-convolution of spatially variant blurs
We propose a modified particle swarm optimization (MPSO) based method for Pseudo De-
convolution of the ill-posed inverse problem namely, the space-variant image degradation …
convolution of the ill-posed inverse problem namely, the space-variant image degradation …
Un metodo mejorado de deshuesado de imagenes medicas con multiples wavelets.
D Liu, M Ma - Investigación Clínica, 2018 - go.gale.com
Las imágenes médicas siempre vienen con varios tipos de ruidos que pueden hacer que
las imágenes sean borrosas debido a elementos tales como instrumentos e interferencias …
las imágenes sean borrosas debido a elementos tales como instrumentos e interferencias …
[PDF][PDF] Optimal Restoration of Spatially Variant Degraded Images Using Intelligent Methods
M Bilal - 2015 - academia.edu
Image restoration is fundamental to visual information processing systems. In many real
world scenarios, noise and blur are the two main unavoidable sources of degradation in …
world scenarios, noise and blur are the two main unavoidable sources of degradation in …