training and validation loss in brats 2022 challenge

[abbas695]

in your brats 2022 notebook you report that you trained 5 models for 150 epochs and averaged their predictions
can i know what was the range of Val loss and train loss at the end of each fold?

[michal2409]

I'm sorry but I don't have this data for loss values. Please refer to this table to compare between BraTS2021 (Optimized U-Net) and BraTS 2022 (Tuned U-Net) for the mean dice score.

[abbas695]

thank you so much
but does this table come from a certain paper?
i know the optimized U-net values come from the "Optimized U-Net for Brain Tumor Segmentation" paper
but what is Tuned U-net?

[michal2409]

Tuned U-Net is the solution from BraTS 2022 notebook. Table is from our paper and will be available in proceedings (https://www.med.upenn.edu/cbica/brats)

[abbas695]

Tuned U-Net is the solution from BraTS 2022 notebook. Table is from our paper and will be available in proceedings (https://www.med.upenn.edu/cbica/brats)

thank you i hope you perform well in the challenge
another thing i want to ask about is in the brats22_model.py file the filters are [64, 128, 256, 512, 768, 1024, 2048]
self.filters = [64, 128, 256, 512, 768, 1024, 2048][: len(strides)]
but in reality the bottle neck ends with 1024 channel , so what is the purpose of 2048 ?