Recent Releases of monailabel
monailabel - 0.8.4
What's New:
VISTA2D Dependencies Added:
- Added dependencies for VISTA2D, ensuring enhanced compatibility and performance when using this feature.
Cellprofiler App and Plugin:
- The Cellprofiler app has been integrated along with a corresponding plugin, enabling new workflows for image analysis.
Enhancements:
Release Checks and Updates:
- Updates and improvements made in preparation for the 0.8.4 release.
Allow Newer Versions of Dependencies:
- Newer versions of key dependencies are now supported, improving compatibility across a wider range of environments.
Replace Deprecated IgniteMetric with IgniteMetricHandler:
- The deprecated
IgniteMetrichas been replaced withIgniteMetricHandlerto keep up with library updates and prevent potential issues.
- The deprecated
MITK Platform Support:
- MITK has been officially added as a supported platform, expanding the tool's versatility in medical image processing.
Bug Fixes:
Fix Non-Standard English Double-Colons:
- Addressed issues with non-standard English double colons, ensuring improved consistency in documentation and messaging.
Fix Bug with Nuclio Docker Container Directory:
- Resolved a bug in the Nuclio Docker container that could cause directory-related errors, ensuring smoother execution in Docker environments.
Dependency Updates:
Bump
requestsLibrary:- The
requestslibrary was updated from2.31.0to2.32.2, addressing security and bug fixes.
- The
Bump
urllib3Library:- The
urllib3library was updated from2.2.1to2.2.2to fix known issues and maintain security compliance.
- The
Pre-commit Hooks Update:
- Updated
pre-commithooks to the latest versions, ensuring consistency in code linting and formatting across the project.
- Updated
Other Changes:
Add Test Case for OpenCV Installation:
- Introduced a test case to ensure both scenarios are enabled when OpenCV is installed, improving test coverage.
Fix cv2 Dependency Issues:
- Resolved conflicts related to the
cv2library to ensure smooth functionality in different environments.
- Resolved conflicts related to the
- Python
Published by tangy5 over 1 year ago
monailabel - 0.8.3
What's Changed
- Add no scribbles model
- Mark translatable strings MONAILabel 3D Slicer Extension
- Bump actions/setup-node
- Fixing #1601 - missing server URL error when doing inference
- Updated pydantic version
- Bump github/codeql-action
- Bump actions/upload-artifact
- Bump actions/setup-python
- Update version with remove requests and requests-toolbelt version limit
- Adding save label function to xnat datastore
- Bump actions/cache
- Bump codecov/codecov-action
- Update package dependencies
- Fix response encoding to explicitly use UTF-8 for HTTP response data
- Update fastapi version
- update github monai model zoo config
- Update blossom-ci list
- Downgraded filelock version
- Fixed cv2
- Jwt package for 0.8.2
- Update bundle versions to avoid conflicts
- Update more bundle versions
- Python
Published by tangy5 over 1 year ago
monailabel - MONAI Label 0.8.2-rc3
Tag for 0.8.2 rc3
- Python
Published by tangy5 almost 2 years ago
monailabel - MONAI Label 0.8.0
Added
-
- DeepEdit and Segmentation Models are supported
- Deepgrow and Scribbles yet to be supported

Option to download DICOM Seg in Inference API
Changed
- MONAI Core dependency updated to >= 0.13.0
- Bug Fixes related to DeepEdit model
- Documentation Fixes
Removed
- OHIF V2 will be deprecated
- Python
Published by SachidanandAlle over 2 years ago
monailabel - MONAI Label 0.7.1rc1
Added
- Add a flag to restore label indexed to the ones defined in the config file
- Python
Published by diazandr3s over 2 years ago
monailabel - MONAI Label 0.7.0
Added
Multi Users authentication and KeyCloak Integration
- MONAI Label APIs with Keycloak integration for user authentication and role based access.
- Login support for 3D Slicer via MONAILabel + KeyClock.
-
- Segmenting 104 anatomies in 4 seconds!
MONAI Bundle Support Improvements
- Support visualization of bundle config option.
- Enhancement of monai-zoo access.
- Support bundle downloading from NGC.
- Enhacement of multi-gpu training of bundles.
New MONAI Label Tutorial Series
- Quickstart tutorials and installation instructions in notebooks.
Documentation enhancements
Changed
Updated pretrained models:
- segmentation
- deepedit
CI/CD and tests
- blossom CI/CD and pre-merge pipeline enabled.
- Increased Unit tests coverage to 80%.
Removed
- Python
Published by tangy5 over 2 years ago
monailabel - MONAI Label 0.6.0
Added
- Pathology Models
- QuPath Extension: 0.3.1 | Demo
- User experience enhancements
- MONAI Label specific Toolbar actions
- Drag and Drop ROI to run auto-segmentation models
- Single click to run interaction models (NuClick)
- Support Next Sample/ROI for Active Learning
- Experiment Management
- 3D Slicer: Detection model support in MONAI Bundle App for Radiology use-case
- Multi-GPU/Multi-Threaded support for Batch Inference
Changed
- Support latest version of bundles in MONAI Bundle App
- Upgrade vertebra pipeline
- MONAI version >= 1.1.0
Removed
- DeepEdit model for Nuclei segmentation in Pathology
- Python
Published by SachidanandAlle about 3 years ago
monailabel - Pretrained Model Weights
THIS IS NOT A RELEASE PAGE
Download Pretrained model weights (TEST/DEMO purpose only) for the sample apps from here
- Python
Published by SachidanandAlle over 3 years ago
monailabel - MONAI Label 0.5.2
Added
- Bundle support (Endoscopy Sample App)
- Rest APIs to download latest trained model and stats
- Interactive NuClick segmentation in DSA | Demo
- Support for MONAI 1.0.1
Changed
- Option to disable DICOM to NIFTI conversion for OHIF usecase
- Proxy URL fixes for GCP + DICOMWeb support
- 3D Slicer UI Improvements
- Optimize window size for options/config
- Fix download label feature to fetch original labels
- Fixes for multi label output of
segmentation_nucleimodel (Pathology) - Improvements on MONAI Bundle App
- support local bundles (pre-downloaded)
- support customized scripts
Removed
- Remove option to run ALL Training Tasks in 3D Slicer (Deprecated)
- Python
Published by SachidanandAlle over 3 years ago
monailabel - MONAI Label 0.5.1
Added
- Endoscopy Sample App
- Multi Stage vertebra segmentation in Radiology App
Changed
- Improving performance for Radiology App
- Support cache for pre-transforms in case repeated inference for interaction models
- Support cache for DICOM Web API responses
- Optimize pre transforms to run GPU for max throughput
- Fix DICOM Proxy for wado/qido
- Improvements for Epistemic (v2) active learning strategy
- Support for MONAI 1.0.0 and above
- Fixes Scribbles to support MetaTensor
Removed
- TTA Based active learning strategy is deprecated
- Python
Published by SachidanandAlle over 3 years ago
monailabel - MONAI Label 0.4.2
Added
- MONAI Bundle App - Pull compatible bundles from MONAI Zoo
- spleenctsegmentation
- spleendeepeditannotation
- others
Changed
- Support for MONAI 0.9.1
- Python
Published by SachidanandAlle over 3 years ago
monailabel - MONAI Label 0.4.1
Changed
- Fix MONAI dependency version to 0.9.0
- Python
Published by SachidanandAlle over 3 years ago
monailabel - MONAI Label 0.4.0
Added
- Pathology Sample App
- 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
- Python
Published by SachidanandAlle over 3 years ago
monailabel - 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
- Python
Published by SachidanandAlle almost 4 years ago
monailabel - 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
- Python
Published by SachidanandAlle about 4 years ago
monailabel - 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
- Python
Published by SachidanandAlle about 4 years ago
monailabel - 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
ScoringMethodandStrategyimplementation documentation - Scribbles-based annotation support for all sample apps
Changed
- Previously named
genericapps now have default functionality underdeepedit,deepgrowandsegmentation - Updated
Modules Overviewdocumentation to include interaction betweenScoringMethodandStrategy
Removed
- All spleen segmentation sample apps (DeepGrow, DeepEdit, auto-segmentation)
- Python
Published by aihsani over 4 years ago
monailabel - 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
- Python
Published by SachidanandAlle over 4 years ago
monailabel - Pretrained model weights and Test Data
THIS IS NOT A RELEASE PAGE
Download Pretrained model weights (TEST/DEMO only) for sample apps from here
- Python
Published by SachidanandAlle over 4 years ago