What’s New

0.8.0

• OHIF V3

  

• MONAI Core dependency updated to >= 0.13.0

• Bug Fixes and Documentation updates

0.7.0

• 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.

• Whole Body CT segmentation

  • Segmenting 104 anatomies in 4 seconds!

  • whole body CT segmentation.

• 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.

• CI/CD and tests

  • blossom CI/CD and pre-merge pipeline enabled.

  • Increased Unit tests coverage to 80%.

• Updated pretrained models:

  • segmentation

  • deepedit

• New MONAI Label Tutorial Series

  • Quickstart tutorials and installation instructions in notebooks.

• Documentation enhancements

  • New look in main README, Sample App READMEs, and Plugin READMEs.

0.6.0

• Pathology Improvements

  • NuClick annotation model

  • Nuclei classification model

  • HoverNet model

• QuPath Improvements

  • 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

0.5.2

• Bundle support (Endoscopy Sample App)

  • Tool Tracking segmentation model

  • InBody vs OutBody classification model

• Rest APIs to download latest trained model and stats

• Interactive NuClick segmentation in DSA | Demo

• 3D Slicer UI Improvements

• Improvements on MONAI Bundle App

  • support local bundles (pre-downloaded)

  • support customized scripts

• Support for MONAI 1.0.1

0.5.1

• Endoscopy Sample App

  • Tool Tracking segmentation model

  • InBody vs OutBody classification model

  • DeepEdit interaction model for annotating tool

  • CVAT Integration to support automated workflow to run Active Learning Iterations

• Improving performance for Radiology App

  • Support cache for pre-transforms in case repeated inference for interaction models

  • Support cache for DICOM Web API responses

  • Fix DICOM Proxy for wado/qido

• Multi Stage vertebra segmentation

• Improvements for Epistemic based active learning strategy

• Support for MONAI 1.0.0

0.4.2

• MONAI Bundle App - Pull compatible bundles from MONAI Zoo

  • spleen_ct_segmentation

  • spleen_deepedit_annotation

  • others

• Support for MONAI 0.9.1

0.4.1

• Fix MONAI dependency version to 0.9.0

0.4.0

• Pathology Sample App

  • DeepEdit, Segmentation, NuClick models

  • Digital Slide Archive plugin

  • QuPath plugin

• Histogram-based GraphCut and Gaussian Mixture Model (GMM) based methods for scribbles

• 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

0.3.0

• 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

0.2.0

• Support for DICOMWeb connectivity to 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)

• Scribbles-based annotation support for all sample apps

• Simplified sample apps with default behavior for generic annotation tasks

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