Fig. 2From: Predicting long-term progression of Alzheimer’s disease using a multimodal deep learning model incorporating interaction effectsSchematic illustration of the deep learning model architecture. A The proposed deep learning model consists of multimodal feature extraction and stepwise fusion classification. B Sequential operations within the SepConv block, residual block, and FC block. C Inter-modal and intra-modal interaction modulesBack to article page