Add instructions to use contrast agnostic model with nnUnet #129
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valosekj
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Jan 22, 2025
valosekj
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Jan 22, 2025
jcohenadad
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Jan 22, 2025
Co-authored-by: Jan Valosek <[email protected]>
Co-authored-by: Jan Valosek <[email protected]>
Co-authored-by: Julien Cohen-Adad <[email protected]>
valosekj
reviewed
Jan 23, 2025
README.md
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| * [7.2. Running QC on predictions from MS-MP2RAGE dataset](#72-running-qc-on-predictions-from-ms-mp2rage-dataset) | ||
| * [7.3. Running QC on predictions from Radiculopathy-EPI dataset](#73-running-qc-on-predictions-from-radiculopathy-epi-dataset) | ||
| * [8. Active learning procedure](#8-active-learning-procedure-todo) | ||
| * [8. Using contrast-agnostic model with nnUNet](#8-use-contrast-agnostic-model-with-nnunet) |
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I guess this needs to be updated to Transfer learning from contrast-agnostic model
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I think commit 71ab0b4 is doing that?
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71ab0b4 seems to change only the section title but not the the text in the toctree
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fixed in commit 78c9e03
valosekj
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Jan 23, 2025
valosekj
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Jan 27, 2025
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This PR adds a quick start guide on using contrast agnostic model's pretrained weights with nnUNet. Detailed instructions are provided within the guide.
Note: This PR was originally in ivadomed/utilities#54 but has been moved to this repo as this repo is the right location.
@valosekj if you're pushing any changes, please do so in this branch. The PR in ivadomed/utilities will be closed.