UTAD-Net

1. Download the BRATS2020 dataset.

2. Slice three-dimensional images into two dimensions and resize to 128 * 128.

3. Randomly partitioning the dataset into training, validation, and testing sets.

4. train techer network
   python ./train_w_local_branch.py --phase train

5. train studet network
   python ./train_distill_global_local.py --phase train

6. test
   python ./train_distill_global_local.py --phase test