feat: automatic segmentation using onnx to run local AI algorithms

[wayfarer3130]

Try it here https://www.cornerstonejs.org/live-examples/samclientside

fixes #1658

This pull request introduces significant changes across multiple files, primarily focusing on the addition of a new AI module, updates to existing tools, and enhancements to the build process.

New AI Module:

• Added a new API report file for the @cornerstonejs/ai package, which includes a comprehensive list of imports and a detailed ONNXSegmentationController class with various methods and properties.
• Created a new README.md for the @cornerstonejs/ai package, providing an overview and documentation links.
• Added an api-extractor.json configuration file for the @cornerstonejs/ai package to generate API reports.

Tool Updates:

• Updated VolumeViewport class to include an optional useSlabThickness parameter in the getCurrentImageIdIndex method.
• Added interpolationUID to the Annotation type and changed cachedStats to Record<string, unknown>. [1] [2]
• Introduced a new createAnnotation method in the AnnotationDisplayTool class.
• Added static defaults and mergeDefaultProps methods to the BaseTool class, along with a getter for toolName. [1] [2] [3]
• Refactored BrushTool to extend LabelmapBaseTool and removed several methods. [1] [2]
• Changed createAnnotation method return type from Annotation to ContourAnnotation in PlanarFreehandROITool and SplineROITool. [1] [2]
• Added probeDefaults static property to ProbeTool class and updated _calculateCachedStats method. [1] [2]
• Added AddPreview to StrategyCallbacks enum.

Build Process Enhancements:

• Added a new script build:update-api:ai to the package.json to update the API for the @cornerstonejs/ai package.

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