Modal Characteristic Optimization and Spatiotemporal Correlation Features Fusion for Multimodal Disease Diagnosis
A framework known as modal characteristic optimization and spatiotemporal correlation features fusion (MCO-SCFF) aimed at diagnosing mild cognitive impairment (MCI) and Alzheimer’s disease (AD) is introduced, showing robust and competitive performance for multimodal neurodegenerative disease diagnosis.