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Initial commit -- Adding calibration loss specific to segmentation #7819
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Fix the order of loss function in import statement
Fixed the formatting and minor issues.
Reorder import statements
Reorder system imports.
isort inferred one
Updated class name according to standard
Fixed the inline comment
Add datatype in functions and classes
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Thanks for the contribution! I had a few comments, and the CICD errors are easy fixes I think. The test fail is from accuracy it seems which can be fixed by changing the error.
Co-authored-by: Eric Kerfoot <17726042+ericspod@users.noreply.github.com> Signed-off-by: Balamurali <balamuralim.1993@gmail.com>
Co-authored-by: Eric Kerfoot <17726042+ericspod@users.noreply.github.com> Signed-off-by: Balamurali <balamuralim.1993@gmail.com>
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Add model description.
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Fixed the initialization issues with return types
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Use Any instead of tensor
Import typing
Fix return type formatting
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Signed-off-by: Balamurali <balamuralim.1993@gmail.com>
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Hi @ericspod, Thanks for your feedback. I have addressed all the issues. I will work on using the monai functions (for the gaussian, and mean) in some time. Until then, is it possible to merge it with the dev branch and make the loss function available ? Thank you. |
Co-authored-by: YunLiu <55491388+KumoLiu@users.noreply.github.com> Signed-off-by: Balamurali <balamuralim.1993@gmail.com>
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Thanks for the contribution! Overall looks good to me. Several minor inline comments.
* Modify the code with MeanFilter, and GaussianFilter of MONAI layers * Add Doc string explaining the mask preparation Signed-off-by: Balamurali <balamuralim.1993@gmail.com>
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Thanks for the quick update, few further comments inline.
Co-authored-by: YunLiu <55491388+KumoLiu@users.noreply.github.com> Signed-off-by: Balamurali <balamuralim.1993@gmail.com>
Co-authored-by: YunLiu <55491388+KumoLiu@users.noreply.github.com> Signed-off-by: Balamurali <balamuralim.1993@gmail.com>
Looks good now to me with the last minor comments addressed. |
Signed-off-by: Balamurali <balamuralim.1993@gmail.com>
Signed-off-by: Balamurali <balamuralim.1993@gmail.com>
Signed-off-by: Balamurali <balamuralim.1993@gmail.com>
…nto model-calibration
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Thanks for the quick update, looks good to me now. Will trigger more tests and try to merge this one.
/build |
Description
Model calibration has helped in developing reliable deep learning models. In this pull request, I have added a new loss function NACL (https://arxiv.org/abs/2303.06268, https://arxiv.org/abs/2401.14487) which has shown promising results for both discriminative and calibration in segmentation.
Future Plans: Currently, MONAI has some of the alternative loss functions (Label Smoothing, and Focal Loss), but it doesn't have the calibration specific loss functions (https://arxiv.org/abs/2111.15430, https://arxiv.org/abs/2209.09641). Besides, these methods are better evaluated with calibration metrics, Expected Calibration Error (https://lightning.ai/docs/torchmetrics/stable/classification/calibration_error.html).
Types of changes
./runtests.sh -f -u --net --coverage
../runtests.sh --quick --unittests --disttests
.make html
command in thedocs/
folder.