Research Article
TISNet-Enhanced Fully Convolutional Network with Encoder-Decoder Structure for Tongue Image Segmentation in Traditional Chinese Medicine
Table 1
Training parameters of the proposed method.
| Hyperparameters | Interpretation |
| Normalization | Mean centering and standard deviation normalization of the intensities were performed | Cropping | All the images were center-cropped to a pixel size | Optimization | SGD optimizer with the base learning rate 0.01 | Learning rate scheduling | The poly learning rate policy was used, where the current learning rate equals to the base one multiplying | Batch size | 4 | Epoch number size | 50 | Momentum | 0.9 | Weight decay | 0.0005 |
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