The proposed SSKEA-Net effectively combines domain-specific structural and statistical knowledge with DL, achieving both high diagnostic ACC and clinical interpretability for early PD detection. By incorporating neuroimaging priors into the network architecture, this approach provides a valuable framework for developing more reliable and interpretable artificial intelligence systems in clinical neuroimaging applications.
Shen et al. (Wed,) studied this question.