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[NeurIPS 2023] The Rise of AI Language Pathologists: Exploring Two-level Prompt Learning for Few-shot Weakly-supervised Whole Slide Image Classification
Hi ,what's your data split for few-shot experiments? For example, in one-shot or two-shot setting, how to split training/validation set?
Hi!Thanks for your great work ! Could you provide some guidance on how to process the WSI data?
Hello, I carefully reviewed your repository code, issues, and the code related to the DSMIL data generation section. However, I could not find more detailed information about `train_feats.npy` in `TCGA_LungCancer_CLIPFeat`....
Forgive me for being a beginner. May I ask why the error will be reported when batchsize>1? And what about the pre-processing of the data set?
I am trying to reproduce the results from the paper using the code provided in this repository. However, I am encountering significantly lower scores than those reported in the paper...
Hi, thanks for the great work! I understand that you can't provide the seed numbers for reproducibility, but could you let me know the proportions of validation and testing sets?...
Hi! may I ask when guidance on WSI data can be provided? It would be very helpful for me. Thanks for your great work !
I noticed that you mentioned that the guidance for data preprocessing will be available soon. I would greatly appreciate it if you could provide any preliminary information or resources related...