Please tell me, why does the TUM_128 file combine HIS with two "medium" b channels, and not with one? these are two identical layers.
the file TUM_128.py , line 96
This implementation is simply adapted to use the same channel as the pretrained data. You can delete it and use the original 10 channels, which won't affect the model's performance.
Please tell me, why does the TUM_128 file combine HIS with two "medium" b channels, and not with one? these are two identical layers. the file TUM_128.py , line 96