What’s New¶
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