Research Article
Automated Ventricular System Segmentation in Paediatric Patients Treated for Hydrocephalus Using Deep Learning Methods
Table 2
Parameters of neural network architecture that were used consistently during training.
| Network architecture | Training | Optimization |
| Encoder | ResNet34 | Learning rate | 1e-4 | Optimizer | Adam | Image size | 512 x 512 | Number of epochs | 4 | Learning rate policy | 1cycle | Self-attention | True | Batch size | 10 | Loss | Generalized dice loss | Precision | FP16 | Weight decay | 1e-7 | ā | ā |
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