Table 1 Hyperparameter optimization settings for the H-fusion-SEG model.

From: H-fusion SEG: dual-branch hyper-attention fusion network with SAM integration for robust skin disease segmentation

Hyperparameter

Value

Epochs

50

Mini-batch size

8

Learning rate

1 × 10⁻4

Optimization method

Adam optimizer

Objective-loss function

Combined loss (binary cross-entropy + intersection over union)

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