Systematic Comparison of MRI Preprocessing Pipelines and Classical Machine Learning Models for Dementia Classification: Benchmarking Against CNN Performance

This study highlights the strengths and limitations of different preprocessing-ML combinations for dementia classification, providing a framework for optimising performance while enhancing interpretability. By systematically comparing these pipelines to CNNs, we aim to identify clinically viable alternatives that balance accuracy, explainability, and computational efficiency.