Transfer Learning With Intelligent Training Data Selection for Prediction of Alzheimer’s Disease

Abstract

We utilize transfer learning on the ADNI dataset, reduced in sample size by entropy selection to acheive state-of-the-art performance in multi-task classification. We provide a detailed analysis using class activation maps to demonstrate the model’s performance on neuropathological regions that are task-relevant and can help healthcare practicioners in interpreting the model’s decision.