Machine learning and deep learning for clinical data and PET/SPECT imaging in Parkinson's disease: a review

H Khachnaoui, R Mabrouk, N Khlifa - IET Image Processing, 2020 - Wiley Online Library
Machine Learning (ML) is a subfield of Artificial Intelligence (AI) that is increasingly applied
to several medical diagnosis tasks, including a wide range of diseases. Importantly, various …

Research related to the diagnosis of prostate cancer based on machine learning medical images: A review

X Chen, X Liu, Y Wu, Z Wang, SH Wang - International journal of medical …, 2024 - Elsevier
Background Prostate cancer is currently the second most prevalent cancer among men.
Accurate diagnosis of prostate cancer can provide effective treatment for patients and greatly …

Thyroid nodules classification and diagnosis in ultrasound images using fine‐tuning deep convolutional neural network

O Moussa, H Khachnaoui, R Guetari… - International Journal of …, 2020 - Wiley Online Library
Ultrasonography AKA diagnostic sonography is a noninvasive imaging technique that
allows the analysis of an organic structure, thanks to the ultrasonic waves. It is a valuable …

Adaptive Cuckoo Search based optimal bilateral filtering for denoising of satellite images

A Asokan, J Anitha - ISA transactions, 2020 - Elsevier
A satellite image transmitted from satellite to the ground station is corrupted by different
kinds of noises such as impulse noise, speckle noise and Gaussian noise. The traditional …

Image Classification for Automobile Pipe Joints Surface Defect Detection Using Wavelet Decomposition and Convolutional Neural Network

Z Yang, M Zhang, C Li, Z Meng, Y Li, Y Chen… - IEEE Access, 2022 - ieeexplore.ieee.org
The surface defect detection of automobile pipe joints based on computer vision faces
technical challenges. The tiny-sized and smooth surfaces with processing textures will …

Comparative analysis of noise removal techniques in MRI brain images

B Deepa, MG Sumithra - 2015 IEEE International Conference …, 2015 - ieeexplore.ieee.org
Noise removal techniques have become an essential exercise in medical imaging
applications, for the study of anatomical structures. To address this issue many denoising …

An effective shearlet-based anisotropic diffusion technique for despeckling ultrasound medical images

O Moussa, N Khlifa, F Morain-Nicolier - Multimedia Tools and Applications, 2023 - Springer
The speckle is usually described as a multiplicative noise that significantly corrupts the
quality and contrast in diagnostic ultrasound imaging. Therefore, the development of an …

MSPB: intelligent SAR despeckling using wavelet thresholding and bilateral filter for big visual radar data restoration and provisioning quality of experience in real …

P Singh, A Shankar, M Diwakar… - Environment, Development …, 2022 - Springer
The main reason behind degradation in Synthetic Aperture Radar (SAR) images is speckle
noise which is a critical barrier of enhancing Quality of Experience (QoE) in remote sensing …

Granular filter in medical image noise suppression and edge preservation

W Wieclawek, E Pietka - Biocybernetics and biomedical engineering, 2019 - Elsevier
An alternative non-linear filtering technique for medical image denoising while preserving
edge is introduced. Two different variants of the approach ie crisp and fuzzy are developed …

Performance analysis of speckle reduction filtering algorithms in B-mode ultrasound images

S Ratheesha, AS Beevi, S Kalady - 2021 2nd International …, 2021 - ieeexplore.ieee.org
Medical field is enriched with various imaging modalities that help experts for analyzing and
diagnosis of the diseases. Among them, Computer Tomography (CT), X-rays, Magnetic …