A comprehensive survey on the detection, classification, and challenges of neurological disorders
Simple Summary This study represents a resourceful review article that can deliver
resources on neurological diseases and their implemented classification algorithms to …
resources on neurological diseases and their implemented classification algorithms to …
Multiple sclerosis diagnosis using machine learning and deep learning: challenges and opportunities
Multiple Sclerosis (MS) is a disease that impacts the central nervous system (CNS), which
can lead to brain, spinal cord, and optic nerve problems. A total of 2.8 million are estimated …
can lead to brain, spinal cord, and optic nerve problems. A total of 2.8 million are estimated …
Real-time underwater image enhancement: a systematic review
MK Moghimi, F Mohanna - Journal of Real-Time Image Processing, 2021 - Springer
In recent years, deep sea and ocean explorations have attracted more attention in the
marine industry. Most of the marine vehicles, including robots, submarines, and ships, would …
marine industry. Most of the marine vehicles, including robots, submarines, and ships, would …
An ensemble soft weighted gene selection-based approach and cancer classification using modified metaheuristic learning
N Tavasoli, K Rezaee, M Momenzadeh… - Journal of …, 2021 - academic.oup.com
Hybrid algorithms are effective methods for solving optimization problems that rarely have
been used in the gene selection procedure. This paper introduces a novel modified model …
been used in the gene selection procedure. This paper introduces a novel modified model …
TraitLWNet: a novel predictor of personality trait by analyzing Persian handwriting based on lightweight deep convolutional neural network
Based on psychologists' theories, an individual's handwriting somehow symbolizes a type of
personality trait that can be a projection of the person's innate. A person's handwriting is the …
personality trait that can be a projection of the person's innate. A person's handwriting is the …
Multiple sclerosis identification in brain MRI images using wavelet convolutional neural networks
A Alijamaat, A NikravanShalmani… - International journal of …, 2021 - Wiley Online Library
Multiple sclerosis (MS) is a degenerative disease of the covering around the nerves in the
central nervous system. It damages the immune cells and causes small lesions in the …
central nervous system. It damages the immune cells and causes small lesions in the …
AI-based model for automatic identification of multiple sclerosis based on enhanced sea-horse optimizer and MRI scans
MG Khattap, M Abd Elaziz, HGEMA Hassan… - Scientific Reports, 2024 - nature.com
This study aims to develop an AI-enhanced methodology for the expedited and accurate
diagnosis of Multiple Sclerosis (MS), a chronic disease affecting the central nervous system …
diagnosis of Multiple Sclerosis (MS), a chronic disease affecting the central nervous system …
A wavelet-based robust medical image watermarking technique using whale optimization algorithm for data exchange through internet of medical things
K Rezaee, M SaberiAnari, MR Khosravi - … : Infrastructure, algorithms and …, 2022 - Springer
Medical image plays a vital role in altering the diagnostic process. Using the Internet of
Things (IoT) in healthcare applications, the diagnosis process will be more successful in …
Things (IoT) in healthcare applications, the diagnosis process will be more successful in …
A hybrid approach for MS diagnosis through nonlinear eeg descriptors and metaheuristic optimized classification learning
E Mohseni, SM Moghaddasi - Computational Intelligence and …, 2022 - Wiley Online Library
Multiple sclerosis (MS), a disease of the central nervous system, affects the white matter of
the brain. Neurologists interpret magnetic resonance images that are often complicated, time …
the brain. Neurologists interpret magnetic resonance images that are often complicated, time …
Multi-mass breast cancer classification based on hybrid descriptors and memetic meta-heuristic learning
K Rezaee, A Rezaee, N Shaikhi, J Haddadnia - SN Applied Sciences, 2020 - Springer
Among the causes of death in the world, breast cancer is considered the most common
cause of mortality among women to the extent that one in five deaths among women is …
cause of mortality among women to the extent that one in five deaths among women is …