Enhance MONAI Label tutorial on using VISTA3D

[Copilot]

This PR adds comprehensive VISTA3D tutorials and documentation to MONAI Label, addressing the need for enhanced guidance on using the VISTA3D universal segmentation model.

What's Added

Comprehensive Tutorial Documentation

• Complete VISTA3D Tutorial (docs/source/tutorials/vista3d_tutorial.md): 270+ line comprehensive guide covering setup, usage, troubleshooting, and clinical workflows
• Quick Start Guide (docs/source/tutorials/vista3d_quickstart.md): Fast setup guide for immediate VISTA3D deployment
• Configuration Examples (docs/source/tutorials/vista3d_configurations.md): Sample configurations for various deployment scenarios including memory optimization, PACS integration, and Docker deployment

Main README Enhancements

• Added dedicated VISTA3D App section to the tutorials listing
• Updated the supported models matrix to include VISTA3D (Universal) in the Radiology section
• Linked all three VISTA3D tutorial documents with clear descriptions

MONAIBundle App Integration

• Added VISTA3D to the supported models table in sample-apps/monaibundle/README.md
• Included VISTA3D-specific usage examples and command-line configurations
• Added new configuration parameters for VISTA3D tuning

Formal Documentation System

• Created docs/source/tutorials.rst for Sphinx documentation integration
• Added tutorials section to the main documentation index (docs/source/index.rst)
• Provided proper RST formatting for the documentation system

Key Features Covered

Setup and Installation:

• System requirements (GPU, RAM, Python versions)
• Installation methods including pip and development setups
• Data preparation for CT volumes (DICOM and NIfTI)

Usage Workflows:

• Automatic segmentation for 117+ anatomical structures
• Interactive point prompting for targeted segmentation
• Class-based prompting for anatomical categories (organs, bones, vessels)
• Advanced configuration and memory optimization

Viewer Integration:

• OHIF viewer setup and VISTA3D integration
• 3D Slicer compatibility and usage instructions
• Web-based and desktop workflow examples

Deployment Scenarios:

• Local datastore configurations
• PACS/DICOMWeb integration
• Docker deployment examples
• Multi-model server setups

Clinical Applications:

• Abdominal organ segmentation workflows
• Comprehensive anatomy analysis
• Research and clinical use case examples

The tutorials provide both quick-start capabilities for immediate use and comprehensive guidance for advanced deployment scenarios, making VISTA3D's universal segmentation capabilities accessible to users across different experience levels.

Fixes #1859.

Warning

Firewall rules blocked me from connecting to one or more addresses (expand for details)

I tried to connect to the following addresses, but was blocked by firewall rules:

• https://api.github.com/repos/Project-MONAI/model-zoo/contents/models
  • Triggering command: python -c import requests try: response = requests.get('REDACTED') if response.status_code == 200: models = response.json() vista_models = [model['name'] for model in models if 'vista' in model['name'].lower()] print('VISTA models in Model Zoo:', vista_models) else: print('Could not fetch model zoo contents') except Exception as e: print('Error fetching model zoo:', str(e)) (http block)
  • Triggering command: `python -c
    import requests
    try:
    # Check the public model zoo for VISTA3D models
    url = 'REDACTED'
    response = requests.get(url, timeout=10)
    if response.status_code == 200:
    print('VISTA3D found in model zoo')
    print(response.text[:200])
    else:
    print('VISTA3D not found at expected location')

# Try alternative approaches to find VISTA3D
models_list_url = 'REDACTED'
response = requests.get(models_list_url, timeout=10)
if response.status_code == 200:
    import json
    models = json.loads(response.text)
    vista_models = [m['name'] for m in models if 'vista' in m['name'].lower()]
    print('Available VISTA models in model zoo:', vista_models)
else:
    print('Could not retrieve model list')

except Exception as e:
print(f'Error: {e}')` (http block)

If you need me to access, download, or install something from one of these locations, you can either:

• Configure Actions setup steps to set up my environment, which run before the firewall is enabled
• Add the appropriate URLs or hosts to the custom allowlist in this repository's Copilot coding agent settings (admins only)

---

💬 Share your feedback on Copilot coding agent for the chance to win a $200 gift card! Click here to start the survey.

[Copilot]

@bhashemian 👋 This repository doesn't have Copilot instructions. With Copilot instructions, I can understand the repository better, work faster and produce higher quality PRs.

I can generate a .github/copilot-instructions.md file for you automatically. Click here to open a pre-filled issue and assign it to me. I'll write the instructions, and then tag you for review.