Federated learning (FL), which provides a collaborative training scheme for distributed data
sources with privacy concerns, has become a burgeoning and attractive research area. Most …

Alzheimer's disease, a primary neurodegenerative condition, predominantly impacts the
elderly and pre-elderly population. This progressive neurological disorder is characterized …

Alzheimer's Disease (AD) is the most prevalent and rapidly progressing neurodegenerative
disorder among the elderly and is a leading cause of dementia. AD results in significant …

Breast tumor detection and classification on the Internet of Medical Things (IoMT) can be
automated with the potential of Artificial Intelligence (AI). Deep learning models rely on large …

Alzheimer's disease (AD) is a degenerative neurological ailment that progressively affects a
large number of individuals globally. Timely and precise diagnosis of this ailment is crucial …

Background: There is a broad interest in deploying deep learning-based classification
algorithms to identify individuals with Alzheimer's disease (AD) from healthy controls (HC) …

Alzheimer's disease is a complex neurodegenerative disease. Subjects with Mild Cognitive
Impairment will progress to Alzheimer's disease, thus how to effectively diagnose …

In diagnosing challenging conditions such as Alzheimer's disease (AD), while imaging is an
important reference, non-image data such as patient information, genetic data, medication …

In machine learning, data often comes from different sources, but combining them can
introduce extraneous variation that affects both generalization and interpretability. For …

Magnetic resonance imaging (MRI), a non-ionizing radiation imaging method, is widely
utilized in diagnosing Alzheimer's disease (AD) due to its excellent imaging ability for brain …