Machine learning and deep learning for clinical data and PET/SPECT imaging in Parkinson's disease: a review
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 …
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 …
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
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 …
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 …
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 …
technical challenges. The tiny-sized and smooth surfaces with processing textures will …
Comparative analysis of noise removal techniques in MRI brain images
Noise removal techniques have become an essential exercise in medical imaging
applications, for the study of anatomical structures. To address this issue many denoising …
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
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 …
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 …
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 …
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 …
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
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 …
diagnosis of the diseases. Among them, Computer Tomography (CT), X-rays, Magnetic …