I’m trying to reproduce a model described in a paper that I found online, you can found it here.
In section “D. Finetuning the Models” I read:
To encourage the model to be more robust to the exact location of the pleural line we applied a random global shift to the signed distance channel (max ±8%).
I’m not sure what “random global shift to the signed distance channel” means and what kind of transformation I should apply.
Can you help me to understand it please?
I’m using PyTorch in Colab environment.