Unlocking Alzheimer's: A Squeezenet-Based Approach for Automated Diagnosis Across Disease Stages

• Published in: 2024 4th International Conference on Sustainable Expert Systems (ICSES) pp. 1658 - 1664
• Main Authors: Kumar Pallikonda, Anil, Varma, P Suresh
• Format: Conference Proceeding
• Language: English
• Published: IEEE 15.10.2024
• Subjects: Alzheimer's disease; Complexity theory; Deep learning; Expert systems; Harris Hawks Optimization technique; Magnetic resonance imaging; Mild Cognitive Impairment; Multiclass Classification; Nearest neighbor methods; Optimization; Principal component analysis; Sensitivity; SqueezNet; Vectors

The neurodegenerative disorder known as Alzheimer's Disease (AD), which is carried on by the death of brain cells are characterised by memory loss and cognitive decline. The complexity of the brain's structure and functioning makes early identification of AD challenging, despite the fact t...