MONAI Label 0.4.0

Added

• Pathology Sample App
  • DeepEdit, Segmentation, NuClick models
  • Digital Slide Archive plugin | Demo
  • QuPath plugin | Demo
• Histogram-based GraphCut and Gaussian Mixture Model (GMM) based methods for scribbles

Changed

• Support for MONAI (supports 0.9.0 and above)
• Radiology Sample App (Aggregation of previous radiology models)
  • DeepEdit, Deepgrow, Segmentation, SegmentationSpleen models
• NrrdWriter for multi-channel arrays
• 3D Slicer Fixes
  • Support Segmentation Editor and other UI enhancements
  • Improvements for Scribble Interactions
  • Support for .seg.nrrd segmentation files
  • Support to pre-load existing label masks during image fetch/load
• Static checks using pre-commit ci

Removed

• SimpleCRF and dependent functions for scribbles

MONAI Label 0.3.2

Added

• SSL and multiple worker options while starting MONAI Label server
• Scribbles support for OHIF Viewer
• Add Citation page

Changed

• Support for MONAI (supports 0.8.1 and above)
• Fix loading pretrained models for TTA and Epistemic Scoring
• Fix Load MMAR API for deepgrow/segmentation apps
• Upgrade PIP Dependencies
• Documentation Fixes

MONAI Label 0.3.1

Added

• Flexible version support for MONAI (supports 0.8.* instead of 0.8.0)

Changed

• Strict Flag is set to False while loading pretrained models
• Fix inverse transform for DeepEdit sample app
• Documentation Fixes

Removed

• DeepGrow Left-Atrium

MONAI Label 0.3.0

Added

• Multi GPU support for training
  • Support for both Windows and Ubuntu
  • Option to customize GPU selection
• Multi Label support for DeepEdit
  • DynUNET and UNETR
• Multi Label support for Deepgrow App
  • Annotate multiple organs (spleen, liver, pancreas, unknown etc..)
  • Train Deepgrow 2D/3D models to learn on existing + new labels submitted
• 3D Slicer plugin
  • Multi Label Interaction
  • UI Enhancements
  • Train/Update specific model
• Performance Improvements
  • Dataset (Cached, Persistence, SmartCache)
  • ThreadDataloader
  • Early Stopping
• Strategy Improvements to support Multi User environment
• Extensibility for Server APIs

Changed

• Operate histogram likelihood transform in both normalized and unnormalized modes for Scribbles

Removed

• DeepGrow Left-Atrium

MONAI Label 0.2.0

Added

• Support for DICOMWeb connectivity to local/remote PACS
• Annotations support via OHIF UI enabled in MONAI Label Server
• Support for native and custom scoring methods to support next image selection strategies
  • Native support for scoring and image selection using Epistemic Uncertainty and Test-time Augmentations (Aleatoric Uncertainty)
• Custom ScoringMethod and Strategy implementation documentation
• Scribbles-based annotation support for all sample apps

Changed

• Previously named generic apps now have default functionality under deepedit, deepgrow and segmentation
• Updated Modules Overview documentation to include interaction between ScoringMethod and Strategy

Removed

• All spleen segmentation sample apps (DeepGrow, DeepEdit, auto-segmentation)

MONAI Label 0.1.0

Added

Highlights

• Framework for developing and deploying MONAI Label Apps to train and infer AI models
• Compositional & portable APIs for ease of integration in existing workflows
• Customizable design for varying user expertise
• 3DSlicer support
• Support for multi-label auto-segmentation

Sample Apps

• Template apps to customize the behavior of DeepGrow and DeepEdit
• Automated segmentation of left atrium, spleen
• DeepGrow AI annotation of left atrium, spleen
• DeepEdit AI annotation of left atrium, spleen

Pretrained model weights and Test Data

THIS IS NOT A RELEASE PAGE

Download Pretrained model weights (TEST/DEMO only) for sample apps from here