Custom model creation and hosting to Serving Endpoint + optimizations

[erinaldidb]

Changelog

MONAILabel integrations

• Added Model wrapper for MONAILabel to serve as PyFunc ML Model usable in Serving Endpoints
• Added MONAILabelTransformer to call MONAILabel server in a serving endpoint
• Added instructions to notebook 05-Monailabel.py
• Added example to create custom model with user defined labels in notebook 05-Monailabel.py
• Added example workflow to use pixels with serving endpoints
• Added MONAILabel radiology app and model creation under monailabel_model folder
• Added MONAILabel in serving endpoint connectivity to the lakehouse app

Bugfix

• Fixed OHIF viewer handling with databricks' api responses with partial chunks
• Fixed OHIF viewer val_split float variable during api call to monai server used in the active learning task
• Fixed OHIF viewer autosegmentation issue on detecting current DICOM series
• Fixed monai server startup option in lakehouse app

Others

• Added SQL statements to create Pixels' tables with optimal configuration during the initialization of the Catalog class
• Added deep parameter in DicomMetaExtractor for optimization purposes, set it as false to avoid scanning dicom pixel data during metadata extraction
• Code cleanup using check style