Accurate and Efficient Algorithm for Detection of Alzheimer Disability Based on Deep Learning.
Journal:
Cellular physiology and biochemistry : international journal of experimental cellular physiology, biochemistry, and pharmacology
Published Date:
Dec 19, 2024
Abstract
BACKGROUND/AIMS: Alzheimer's Disease (AD) is a progressive neurodegenerative disorder that severely affects cognitive functions and memory. Early detection is crucial for timely intervention and improved patient outcomes. However, traditional diagnostic tools, such as MRI and PET scans, are costly and less accessible. This study aims to develop an automated, cost-effective digital diagnostic approach using deep learning (DL) and computer-aided detection (CAD) methods for early AD identification and classification.