Saliency mapping gradient #577
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…h dataloader and models
Applying and visualizing gradient saliency on a basic pyhealth model claissifying image data
…h dataloader and models (cherry picked from commit 858c4f7)
(cherry picked from commit 3bd6860)
Trying to find a version of this that github can render without errors
Still trying to get something that displays correctly in github
Remove temporary branch references from python notebook example import
jhnwu3
reviewed
Oct 16, 2025
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Reasonable, there's probably something small I can test without a full CNN, I'll look at the other tests for options. |
Adding minimal testing of the gradient saliency function
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I wasn't able to find something without a CNN, but it was simple to create a test with a dummy CNN. Would you like me to make it use a CNN with other pyhealth modules or is this sufficient? Keeping it with something small will keep it running pretty quickly, I noticed some of the unit tests in the broader suite are very slow. |
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Goal of this pull request is to add basic gradient saliency mapping in the appropriate location in pyhealth as well as providing a clean python notebook example with a basic CNN since a CNN is required to display the saliency map. Assuming this looks ok, I have a basic LRP saliency mapping and GradCAM to implement next since I already have basic pytorch implementations of those already.