Table 5 The model hyper-parameters.

From: A fast and fully-automated deep-learning approach for accurate hemorrhage segmentation and volume quantification in non-contrast whole-head CT

Hyper-parameter

Value

Network depth

4

Initial learning rate

0.005

Dropout rate

0.3

Batch size

1

First moment estimate

0.9

Second moment estimate

0.999

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