Parkinson's disease diagnosis using neural networks: Survey and comprehensive evaluation
Parkinson's disease (PD) is a chronic neurodegenerative disease of that predominantly
affects the elderly in today's world. For the diagnosis of the early stages of PD, effective and …
affects the elderly in today's world. For the diagnosis of the early stages of PD, effective and …
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 …
Novel nested patch-based feature extraction model for automated Parkinson's Disease symptom classification using MRI images
Objective Parkinson's disease (PD) is a common neurological disorder with variable clinical
manifestations and magnetic resonance imaging (MRI) findings. We propose a handcrafted …
manifestations and magnetic resonance imaging (MRI) findings. We propose a handcrafted …
Deep learning architectures for Parkinson's disease detection by using multi-modal features
G Pahuja, B Prasad - Computers in Biology and Medicine, 2022 - Elsevier
Background The use of multi-modal features for improving the diagnosing accuracy of
Parkinson's disease (PD) is still under consideration. Method Early diagnosis of PD is very …
Parkinson's disease (PD) is still under consideration. Method Early diagnosis of PD is very …
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 …
Music genre classification using deep learning
M Shah, N Pujara, K Mangaroliya… - 2022 6th …, 2022 - ieeexplore.ieee.org
One of the fascinating subjects in the area of Music Information Retrieval (MIR) is the
classification of music as it is played into different genres. Machine learning is used in this …
classification of music as it is played into different genres. Machine learning is used in this …
A computerized analysis with machine learning techniques for the diagnosis of Parkinson's disease: past studies and future perspectives
According to the World Health Organization (WHO), Parkinson's disease (PD) is a
neurodegenerative disease of the brain that causes motor symptoms including slower …
neurodegenerative disease of the brain that causes motor symptoms including slower …
A review of emergent intelligent systems for the detection of Parkinson's disease
S Dhanalakshmi, RS Maanasaa, RS Maalikaa… - Biomedical Engineering …, 2023 - Springer
Parkinson's disease (PD) is a neurodegenerative disorder affecting people worldwide. The
PD symptoms are divided into motor and non-motor symptoms. Detection of PD is very …
PD symptoms are divided into motor and non-motor symptoms. Detection of PD is very …
A Parkinson's Auxiliary Diagnosis Algorithm Based on a Hyperparameter Optimization Method of Deep Learning
Parkinson's disease is a common mental disease in the world, especially in the middle-aged
and elderly groups. Today, clinical diagnosis is the main diagnostic method of Parkinson's …
and elderly groups. Today, clinical diagnosis is the main diagnostic method of Parkinson's …
Deep learning in neuroimaging data analysis: applications, challenges, and solutions
LK Avberšek, G Repovš - Frontiers in neuroimaging, 2022 - frontiersin.org
Methods for the analysis of neuroimaging data have advanced significantly since the
beginning of neuroscience as a scientific discipline. Today, sophisticated statistical …
beginning of neuroscience as a scientific discipline. Today, sophisticated statistical …