AFBT GAN: enhanced explainability and diagnostic performance for cognitive decline by counterfactual generative adversarial network

arXiv:2403.01758v1 Announce Type: cross
Abstract: Existing explanation results of functional connectivity (FC) are normally generated by using classification result labels and correlation analysis methods such as Pearson's correlation or gradient backward. However, the diagnostic model is still trained on the black box model and might lack the attention of FCs in important regions during the training. To enhance the explainability and improve diagnostic performance, providing prior knowledge on neurodegeneration-related regions when healthy subjects (HC) develop into subject cognitive decline (SCD) …

adversarial arxiv cognitive counterfactual cs.cv cs.lg diagnostic eess.iv explainability gan generative generative adversarial network network performance type