Missing files such as dataset/dataset_generic.py and models/mode_set_mil.py.

[kangyuxin1006]

Dear Authors,

I hope this message finds you well. I would like to express my sincere gratitude for your work presented at TMI2024 and for making your code publicly available. I am interested in applying your method to breast cancer survival analysis. However, I noticed that the provided code appears to be incomplete, as it is missing files such as dataset/dataset_generic.py and models/mode_set_mil.py.

Could you please provide these missing components or guide me on how to obtain them? Your assistance would be greatly appreciated.

Thank you very much.

Best regards

[carlogs99]

I think I managed to "reverse engineer" what we need from dataset_generic.py (https://pastebin.com/TPNQL3me). I might be wrong, but maybe it helps you.

I would also like to point out another missing file "/datasets/TCGA-LUAD-DX-256_graphs_resnet18/TCGA-75-5126-01Z-00-DX1.pt'" which I suppose is the contrastive learning pre-trained network for the patch representation in the image graphs.