HiLab-git / SSL4MIS

Semi Supervised Learning for Medical Image Segmentation, a collection of literature reviews and code implementations.

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question about adversarial_network_2D.py

JessicaChanzc opened this issue · comments

Thank you for the work!

These is a quesiton I would like to ask about, I am trying to run the train_adversarial_network_2D.
I am confused about the input of DAN, which shown in the following line,
DAN_outputs = DAN(outputs_soft[args.labeled_bs:], volume_batch[args.labeled_bs:])

DAN_outputs = DAN(
outputs_soft[args.labeled_bs:], volume_batch[args.labeled_bs:])

In your code, you took the output of model(softmax prediction) and unlabeled data as input for FCDiscriminator, but would you pls tell me why?

Thank you.

Hi,
I am so sorry, recently, I am too busy to reply to many issues/confusions one by one. You can modify it in your understanding or read these original papers.
Best,
Xiangde.