Fig. 1

Schematic representation of SegResNet

Adapted and partially modified from Andriy M. Springer: 311–320, 2018. Schematic overview of the deep learning architecture. The encoder part consists of normalization by group, a rectified linear unit, and 3 × 3 × 3 convolution, and the initial number of filters is 16. The decoder part consists of an upsizing and 1 × 1 × 1 convolution. The segmentation map is output with the same spatial size as the input image, and the input image is reconstructed. The input images are compressed to 128 × 128 × 128 voxel and are used as the network input