Nested Continual Learning with Elastic Weight Consolidation for Progressive Alzheimer's Disease Classification from MRI.
Introduction/ Objective MRI-based Alzheimer’s staging is often modeled as separate tasks, although clinical assessment progresses from screening to more refined staging. This study developed a continual-learning framework for retaining earlier diagnostic knowledge. Methods A nested multi-head framework was implemented for sequential learning of related binary classification tasks from structural MRI slices. Because verified subject identifiers were unavailable in the Mendeley dataset, the pri...