Table 2:

Configuration details for both of the localization and the segmentation networks, including: Number of trainable parameters, number of epochs, optimizer, batch size, and the loss function.

	Localization network	Segmentation network
Trainable parameters	145k	1.1M
Epochs	12	12
Optimizer	Adam	Adam
learning rate	0.001	0.001
Batch size	8	1
Loss	MSE	DiceCE

Abbreviation: MSE: Mean Squared Error loss; DiceCE: Soft dice loss + Cross Entropy loss.