Hi @bgilbert,

We are interested in using your anonymize-slide in one of our projects. However, we have encountered a licensing issue that prevents us from doing so. We would like to inquire whether you have any plans to change the current license (GPL-2.0) or to convert it to the Apache 2.0 License, which would provide us with more flexibility.

Alternatively, would it be possible for you to grant us a waiver to use your anonymize-slide? This would be immensely beneficial to the community, as it would allow us to continue using this project without any legal complications.

Thank you for your consideration.

Working with the anonymize-slide.py code, I realized that the unlabelled output WSI still bears the original name/label in the image metadata, and that metadata is visible e.g. in the “Reference” field of the “Image Info” window in NDP.view2. Therefore, even though the tiff label gets removed from the WSI, the slide remains un-anonymized as it is still identifiable by the image metadata. While this may be a more recent issue than the time of the initial release of the code, I was wondering if there could be an straight-forward solution to this issue so the current NDPI slide images can be completely anonymized.

returns an error of 270

ran using *.svs

Whould be very nice with an update for Python 3.

deleted.

Is there a way to delete certain fields in the scans such as comments or scan date or filename? These metainformation can be considered as PHI, or as non-anonymized data.

This is a big problem- the process deletes the label image but not the macro image, which also has a copy of the label, at least on certain scanner settings.