depth-reduced U-Net for lightweight medical image segmentationAdd tutorial for depth-reduced U-Net model

[Vishaldave45]

This PR adds a documentation tutorial demonstrating true parameter reduction in MONAI U-Net models via architectural depth reduction.

The tutorial compares a standard U-Net with a depth-reduced variant, highlighting parameter savings and discussing efficiency–accuracy trade-offs relevant to resource-constrained medical imaging deployment scenarios.

The example is lightweight, CPU-friendly, and intended for educational and research-oriented use within the MONAI documentation.

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✨ Finishing touches

🧪 Generate unit tests (beta)

• Create PR with unit tests
• Post copyable unit tests in a comment

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[Vishaldave45]

This PR is documentation-only and adds a tutorial notebook without modifying MONAI core code or packaging.
Please let me know if any CI-related adjustments are required.

[ericspod]

Hi @Vishaldave45 thanks for this contribution but I think it would be better placed in the Tutorials repo. I don't think the CICD problems are related at all but are things we'll address elsewhere. If you could please open a PR in the Tutorials repo we can review the notebook from there.

[Vishaldave45]

Thank you for the feedback! That makes sense.
I’ll open a PR in the MONAI Tutorials repository with the notebook and link it here once it’s ready.