In this study, researchers used data from the Alzheimer’s Disease Neuroimaging Database to evaluate whether individual rates of loss of volumes of the Hippocampus…
Browsing: Mild Cognitive Impairment
This article discusses an innovative diagnostic framework that combines Convolutional Neural Networks (CNNs) with Multi-feature Kernel Supervised within-class-similar Discriminative Dictionary Learning (MKSCDDL) to accurately…
Researchers are using machine learning, a branch of artificial intelligence, to analyze data from the brain and apply this knowledge in clinical settings. At…
This study used Deep Learning (DL) to grade and differentiate the syndromal cognitive stage between Cognitively Unimpaired (CU) and Alzheimer’s Disease (AD), and CU…
Accurately diagnosing Alzheimer’s disease (AD) and its early stages is critical for prompt treatment or potential intervention. To address the overfitting problem brought on…