SERR-U-Net: Squeeze-and-Excitation Residual and Recurrent Block-Based U-Net for Automatic Vessel Segmentation in Retinal Image

Table 3

The detailed training parameters of implementation.

Parameters	Value
Learning rate	0.001
Learning step	5
Patch size
Downsampling ratio	500
Batch number	25
Epoch	20