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Schematic network architecture and workflow of bilinear fusion. Two hundred fifty‐six‐dimensional features were extracted from brain images through a ResNet network. All MaxPooling layers were designed as stride 2 × 2 × 2 and kernel size 3 × 3 × 3. Imaging features and blood parameters were fused in the Multimodal Compact Bilinear Fusion module. The entire process can be completed by an end‐to‐end cascade network
