Table 1.

Conventional Unet and improved model convUnet parameters.

Method	Conv-layers	E-D module weight	Batch normalization	Total parameters	Trainable parameters	Optimizer	Learning rate
Unet	16	2	No	31,030,788	31,030,788	Adam	1e − 3
convUnet	24	3	Yes	46,773,124	46,755,460	Adam	1e − 3