Application of deep learning models for automated identification of Parkinson's disease: A review (2011–2021)
Parkinson's disease (PD) is the second most common neurodegenerative disorder affecting
over 6 million people globally. Although there are symptomatic treatments that can increase …
over 6 million people globally. Although there are symptomatic treatments that can increase …
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 …
An explainable machine learning model for early detection of Parkinson's disease using LIME on DaTSCAN imagery
Parkinson's Disease (PD) is a degenerative and progressive neurological condition. Early
diagnosis can improve treatment for patients and is performed through dopaminergic …
diagnosis can improve treatment for patients and is performed through dopaminergic …
[HTML][HTML] Uncertainty-driven ensembles of multi-scale deep architectures for image classification
The use of automatic systems for medical image classification has revolutionized the
diagnosis of a high number of diseases. These alternatives, which are usually based on …
diagnosis of a high number of diseases. These alternatives, which are usually based on …
Deep residual transfer learning for automatic diagnosis and grading of diabetic retinopathy
Abstract Evaluation and diagnosis of retina pathology is usually made via the analysis of
different image modalities that allow to explore its structure. The most popular retina image …
different image modalities that allow to explore its structure. The most popular retina image …
Spectral features based convolutional neural network for accurate and prompt identification of schizophrenic patients
Schizophrenia is a fatal mental disorder, which affects millions of people globally by the
disturbance in their thinking, feeling and behaviour. In the age of the internet of things …
disturbance in their thinking, feeling and behaviour. In the age of the internet of things …
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 …
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 …
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 …
Novel automated PD detection system using aspirin pattern with EEG signals
Background and objective Parkinson's disease (PD) is one of the most common diseases
worldwide which reduces quality of life of patients and their family members. The …
worldwide which reduces quality of life of patients and their family members. The …