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temporarily skip the test #1550 while we are improving the premerge
runner.
### Checks
<!--- Put an `x` in all the boxes that apply, and remove the not
applicable items -->
- [ ] Avoid including large-size files in the PR.
- [ ] Clean up long text outputs from code cells in the notebook.
- [ ] For security purposes, please check the contents and remove any
sensitive info such as user names and private key.
- [ ] Ensure (1) hyperlinks and markdown anchors are working (2) use
relative paths for tutorial repo files (3) put figure and graphs in the
`./figure` folder
- [ ] Notebook runs automatically `./runner.sh -t <path to .ipynb file>`
Signed-off-by: Wenqi Li <[email protected]>
Copy file name to clipboardExpand all lines: bundle/README.md
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@@ -14,7 +14,7 @@ Start the tutorial notebooks on constructing bundles:
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2.[MedNIST Classification](./02_mednist_classification.ipynb): train a network using the bundle for doing a real task.
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3.[MedNIST Classification With Best Practices](./03_mednist_classification_v2.ipynb): do the same again but better.
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4.[Integrating Existing Code](./04_integrating_code.ipynb): discussion on how to integrate existing, possible non-MONAI, code into a bundle.
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5.[Spleen Segmentation using Pytorch Lightning](./05_spleen_segmentation.ipynb): train a segmentation network using MONAI bundle and Pytorch Lightning.
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5.[Spleen Segmentation using Pytorch Lightning](./05_spleen_segmentation_lightning.ipynb): train a segmentation network using MONAI bundle and Pytorch Lightning.
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More advanced topics are covered in this directory:
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