Research Progress on Imaging Classification of Alzheimer’s Disease Based on Deep Learning

Abstract

As global aging worsens and deep learning advances, the imaging classification of Alzheimer’s disease (AD) based on deep learning has become a hot topic of research. This paper reviewed the common deep learning models, evaluation criteria and public datasets in AD imaging classification tasks, discussed the application of different image modalities in AD imaging classification. The content was focused on the improvement of deep learning models applied to AD imaging classification. The studies of model interpretability were also introduced. Finally, the paper summarized and compared the classification models mentioned, identified the brain regions related to AD image classification, and outlined the future research directions in this field.

Keywords

• alzheimer’s disease (ad)
• deep learning
• medical imaging
• classification
• interpretability