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Add instructions on how to run WSI-level predictions #10
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A tutorial/description of how to predict (multiclass) with DeepMIB on the WSI level (no need for patches) on exported rendered downsampled whole slide images (WSIs) from QuPath, and importing the predictions directly back into QuPath
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I assume @SahPet's comment above will be of interest to you, @pr4deepr, @ajr82, @aaronsathya. I have moved this comment to its own wiki page: Great work, @SahPet !! |
Great stuff. |
Thank you @andreped and @SahPet! |
have you been using bigimage mode? We have currently a beta version of DeepMIB that works way better with large rasters. |
@Ajaxels Hi Ilya, not as much, but eventually we plan on using it. I will try the beta version. Thanks for letting me know. Also thank you very much for DeepMIB. DeepMIB and NoCodeSeg, along with QuPath, have made our ongoing projects easier to work on (we are all pathology residents and pathologists)! |
@ajr82 that beta is not deposited yet, if you want I can share Matlab version, |
As this seems to have been solved, I am closing for now. If you guys have any other requests or issues, please, let me know by making a new issue or similar. |
As our TileImporter script does not support multi-class, the alternative method is to run predictions on WSI level.
This requires you to do something slightly different when running predictions from what was done in the tutorial video.
However, I don't see that there is any documentations for this. This should be added to assist users.
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