API Reference

This section documents HABIT’s stable Python API and the underlying module reference. For command-oriented walkthroughs, see How-to guides.

• Python API
  • Migration from deep imports
  • Recommended object API
  • Preprocessing
  • In-memory configuration
  • DICOM sort
  • Habitat segmentation
  • Feature extraction
  • Traditional radiomics
  • Machine learning
  • sklearn-compatible estimators
  • Model comparison
  • ICC analysis
  • Test-retest analysis
  • Image I/O and geometry
  • Low-level radiomics extraction
  • Plugins, provenance, and errors
  • Top-level package exports
• Image and geometry API
  • Module reference
• Low-level radiomics API
  • Module reference
• habitat_analysis module
  • Core analysis
  • Configuration
  • Pipeline and steps
  • Domain services
  • Analyzers and extractors
• machine_learning module
  • Developer entry point
  • Core contracts
  • Workflows
  • Runners
  • Reporting components
  • Model factory
  • Evaluation
  • Visualization
• preprocessing module
  • Core pipeline
  • Correction
  • Normalization
  • Spatial transform
  • Format conversion
  • Base and factory
• habit.core.dicom_sort
  • API exports
  • Implementation modules
• Plugin discovery API
  • Module reference
• API contracts, provenance, and errors
  • Workflow results
  • Provenance
  • Exceptions
  • Module reference
• common module
  • Configuration system
  • Data utilities
• utils module
  • I/O
  • DICOM
  • Parallel processing
  • Logging and progress
  • Visualization
  • Math and metrics
• CLI Commands API
  • Command Line Interface
  • Main Commands

Command-oriented API notes

Short command-oriented pages that mirror the how-to guides (kept for older links and Sphinx search):

• Prepare data
• Preprocessing
• Habitat segmentation
• Feature extraction
• Machine learning
• Model comparison