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3D classification example based on DenseNet - Occlusion Sensitivity #1971
Description
Hi all,
I tried downloading and running the 3D classification example based on DenseNet tutorial code on occlusion sensitivity, but unfortunately it didn't generate the same map as the example for me.
This is what I've got so far.
Any ideas?
Activity
ericspod commentedon Apr 17, 2025
Hi @robsver is this
3d_classification/densenet_training_array.ipynbyou're referring to? It looks like an interpolation issue perhaps of the image, be sure that you have the most recent versions of MONAI and its dependencies installed and you have run the notebook unmodified.robsver commentedon Apr 19, 2025
Hi @ericspod, thanks for your answer. The notebook I was referring to is located in
tutorials/3d_classification/densenet_training_array.ipynb, so yes, it is that one. The monai version of my python virtual environment is 1.4.0 (latest) with all its dependencies installed and I ran the notebook unmodified, but it doesn't work for me.ericspod commentedon Apr 19, 2025
I'm getting the same results you've got now with current versions of MONAI as well as the dev version. If you look at the tutorial I ran it a long time ago with very old versions of MONAI and its dependencies so I'm afraid a lot has changed since. We should revisit this visualisation feature in the core library, as it seems to me the tutorial is running correctly. Could you please open an issue in the core repo and we'll look into it? Thanks!
robsver commentedon Apr 23, 2025
Thanks so much for your reply, and sorry for getting back to you a bit late!
I’ve just opened an issue in the core repo in Project-MONAI/MONAI#8428.
Really appreciate your help!
Thanks again!