Getting started guide
Hey there, awesome paper and results! Would you care to add a getting started guide for the models?
I imagine something like:
x = pillar0_head_ct(my_dicom_image)
Hi! Here's a WIP demo: https://github.com/YalaLab/pillar-pretrain/tree/demo. We're working on getting this finalized! Please let us know if you have any more questions.
+1 on this
Thanks for sharing the model weights. I’ve been trying to evaluate the model on some custom files and to better understand the expected input and output formats. In particular, I’m not yet clear on how the model produces the final yes/no classifications for the list of questions described in the paper.
Would it be possible to provide a Colab notebook demonstrating the full pipeline: starting from an input DICOM or NIfTI file and ending with the corresponding yes/no outputs?