Fig. 4

Detailed structure of the 3D Bottle U-Net used within BUC-Net. Each encoder block includes a bottleneck module with 1 × 1 × 1 convolutions for channel reduction and restoration, followed by a 3 × 3 × 3 convolution for spatial feature extraction. Instance normalization and LeakyReLU activation are applied after each convolutional layer.