Open jcohenadad opened 8 months ago
That's a very nice and useful idea. With the numerous problematic images in CanProCo, I think it can easily be trained (at least on the PSIR contrast : examples here).
Great idea! Cross-referring https://github.com/neuropoly/idea-projects/issues/5.
As we are building our internal MRI database, we progressively list the images that have excessive artifacts in the file
exclude.yaml
. We should exploit that information and train a model that automatically detects if an images has excessive artifact. When processing large cohorts, that information would be very useful to have.Todo: make sure that our
exclude.yaml
uses the same vocabulary to identify artifacts.