AlzheiNN: CNN model for Alzheimer's disease classification

Customized CNN for Alzheimer's classification hits 98.47% (±0.26%) average accuracy under 5-fold stratified cross-validation. AlzheiNN proved 3.37% more accurate and efficient than the baseline CNN, with strong precision and F1 scores.