Diagnosis of Parkinson's disease (PD) is commonly based on medical observations and
assessment of clinical signs, including the characterization of a variety of motor symptoms …

Alzheimer's Disease (AD) is an irreversible neurodegenerative disease that results in a
progressive decline in cognitive abilities. Since AD starts several years before the onset of …

Alzheimer's disease (AD) is a remarkable challenge for healthcare in the 21st century. Since
2017, deep learning models with transfer learning approaches have been gaining …

Alzheimer's disease (AD) is a neurodegenerative disease that afflicts millions of people
worldwide. Early detection of AD is critical, as drug trials show a promising advantage to …

In recent years, 2D convolutional neural networks (CNNs) have been extensively used to
diagnose neurological diseases from magnetic resonance imaging (MRI) data due to their …

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 …

Alzheimer's Disease (AD) is a widespread neurodegenerative disease caused by structural
changes in the brain and leads to deterioration of cognitive functions. Patients usually …

Computer-aided diagnosis (CAD) is an effective resource for diagnosing brain disorders
rapidly and is also used for reducing human diagnostic errors to enhance and extend the …

The classical neural network has provided remarkable results to diagnose neurological
disorders against neuroimaging data. However, in terms of efficient and accurate …

Alzheimer's disease is the most prevalent dementia among the elderly population. Early
detection is critical because it can help with future planning for those potentially affected …