Attention Gated-VGG with deep learning-based features for Alzheimer's disease classification.

Background: Alzheimer's disease (AD) is considered to be one of the neurodegenerative diseases with possible cognitive deficits related to dementia in human subjects. High priority should be put on efforts aimed at early detection of AD.

Research Design And Methods: Here, images undergo a pre-processing phase that integrates image resizing and the application of median filters.

Optimization enabled ResNet features with transfer learning for Alzheimer's disease detection.

Millions of individuals worldwide suffer from Alzheimer's Disease (AD), a debilitating degenerative condition. Early detection of Alzheimer's disease is critical to ensure effective treatment and better patient outcomes. In the past few years, advanced medical imaging techniques, particularly MRI, have shown potential for diagnosing Alzheimer's disease.