Comment by fluidcruft

I think this is interesting but I'm having trouble seeing how it would apply to the sorts of machine learning tasks that are drawing heavy interest in a radiology department. How does it apply to, say, development or testing of image segmentation tools? Quite often vendors want to sell us software and we would very much like to test it at scale on our own data to see whether it's trash or not because procurement is a beast. Does this sort of tool provide that sort of an interface somehow? I can see how it works for tablular data, I'm just not sure how you can guarantee PHI is fuzzed sufficiently in images.