Detailed architecture of the 3D ResUnet.
The Adam optimizer was used to train the automatic segmentation model with the Dice loss function as the cost function. The batch size was set to eight, the learning rate was set to 0.0001. The model was trained for 600 epochs. The curves depicting the training process of the networks are presented in both 