The role of neural network for the detection of Parkinson's disease: a scoping review
MS Alzubaidi, U Shah, H Dhia Zubaydi, K Dolaat… - Healthcare, 2021 - mdpi.com
Background: Parkinson's Disease (PD) is a chronic neurodegenerative disorder that has
been ranked second after Alzheimer's disease worldwide. Early diagnosis of PD is crucial to …
been ranked second after Alzheimer's disease worldwide. Early diagnosis of PD is crucial to …
Role of artificial intelligence techniques and neuroimaging modalities in detection of Parkinson's disease: a systematic review
Abstract Parkinson's disease (PD), a neurodegenerative disorder, is caused due to the lack
of dopamine neurotransmitters throughout the substantia nigra. Its diagnosis in the earlier …
of dopamine neurotransmitters throughout the substantia nigra. Its diagnosis in the earlier …
A novel approach using learning algorithm for Parkinson's disease detection with handwritten sketches'
A Shrivastava, M Chakkaravarthy… - Cybernetics and …, 2024 - Taylor & Francis
The degenerative neurological condition known as Parkinson's disease is distinguished by
tremors, stiffness, and difficulties with walking, balance, and motor coordination. Parkinson's …
tremors, stiffness, and difficulties with walking, balance, and motor coordination. Parkinson's …
[HTML][HTML] Classification of PPMI MRI scans with voxel-based morphometry and machine learning to assist in the diagnosis of Parkinson's disease
G Solana-Lavalle, R Rosas-Romero - Computer Methods and Programs in …, 2021 - Elsevier
Background and objectives: Qualitative and quantitative analyses of Magnetic Resonance
Imaging (MRI) scans are carried out to study and understand Parkinson's Disease, the …
Imaging (MRI) scans are carried out to study and understand Parkinson's Disease, the …
A survey of deep learning techniques based Parkinson's disease recognition methods employing clinical data
Parkinson's disease (PD) is a critical neurological ailment that affects millions of individuals
worldwide. A correct diagnosis of Parkinson's disease is required for effective treatment …
worldwide. A correct diagnosis of Parkinson's disease is required for effective treatment …
Detection of Parkinson's disease from 3T T1 weighted MRI scans using 3D convolutional neural network
Parkinson's Disease is a neurodegenerative disease that affects the aging population and is
caused by a progressive loss of dopaminergic neurons in the substantia nigra pars …
caused by a progressive loss of dopaminergic neurons in the substantia nigra pars …
IoMT-enabled computer-aided diagnosis of pulmonary embolism from computed tomography scans using deep learning
The Internet of Medical Things (IoMT) has revolutionized Ambient Assisted Living (AAL) by
interconnecting smart medical devices. These devices generate a large amount of data …
interconnecting smart medical devices. These devices generate a large amount of data …
Deep GRU-CNN model for COVID-19 detection from chest X-rays data
In the current era, data is growing exponentially due to advancements in smart devices. Data
scientists apply a variety of learning-based techniques to identify underlying patterns in the …
scientists apply a variety of learning-based techniques to identify underlying patterns in the …
An ensemble of CNN models for Parkinson's disease detection using DaTscan images
Parkinson's Disease (PD) is a progressive central nervous system disorder that is caused
due to the neural degeneration mainly in the substantia nigra in the brain. It is responsible …
due to the neural degeneration mainly in the substantia nigra in the brain. It is responsible …
Implementing magnetic resonance imaging brain disorder classification via AlexNet–quantum learning
The classical neural network has provided remarkable results to diagnose neurological
disorders against neuroimaging data. However, in terms of efficient and accurate …
disorders against neuroimaging data. However, in terms of efficient and accurate …