Alzheimer's disease (AD) is a progressive illness with a slow start that lasts many years; the
disease's consequences are devastating to the patient and the patient's family. If detected …

This paper suggests a new CNN that requires just a few parameters to diagnose AD and is
perfect for training on smaller datasets. Compared to existing state-of-the-art models, the …

As the world is experiencing population growth, the portion of the older people, aged 65 and
above, is also growing at a faster rate. As a result, the dementia with Alzheimer's disease is …

Alzheimer's disease (AD) is a deadly neurological condition. Deep learning approaches
(DL) techniques have just been utilized to track the evolution of Alzheimer's disease. These …

Alzheimer's disease (AD) is a leading form of Dementia which has recently gained a large
attention in neuroimaging techniques. The symptoms are very slow and it affects the daily …

Alzheimer's disease has always been a challenge to be detected at early stages as it has
always been mistaken as normal aging. It can be recognized when the patient starts to have …

Alzheimer's patients typically suffer from a decline in cognitive abilities, which makes it
difficult for them to carry out the activities of daily living. At this time, it is unknown whether or …

░ ABSTRACT-Alzheimer's disease (AD) is the most prevalent kind of dementia illness that
can significantly impair a person's capability to carry out everyday tasks. According to …

Alzheimer's disease (AD) is a brain disease that significantly declines a person's ability to
remember and behave normally. By applying several approaches to distinguish between …

The prevalence of Alzheimer's disease (AD) in the growing elderly population makes
accurately predicting AD progression crucial. Due to AD's complex etiology and …