Docs updates for release 0.2.0 (#427)

* updated whatsnew links

Signed-off-by: Alvin Ihsani <[email protected]>

* minor updates to readme

Signed-off-by: Alvin Ihsani <[email protected]>

Co-authored-by: Alvin Ihsani <[email protected]>

Author: aihsani

README.md

@@ -19,10 +19,11 @@ principles with [MONAI](https://github.com/Project-MONAI).
 
 > _The codebase is currently under active development._
 
-- 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
+- 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 labelling app design for varying user expertise
+- Annotation support via 3DSlicer & OHIF 
+- PACS connectivity via DICOMWeb
 
 ## Installation
 
@@ -57,7 +58,7 @@ Manager.
 Refer [3D Slicer plugin](plugins/slicer) for other options to install and run MONAI Label plugin in 3D Slicer.
 > To avoid accidentally using an older Slicer version, you may want to _uninstall_ any previously installed 3D Slicer package.
 
-### OHIF [WIP]
+### OHIF
 
 MONAI Label comes with pre-built plugin for [OHIF Viewer](https://github.com/OHIF/Viewers).
 > Please install [Orthanc](https://www.orthanc-server.com/download.php) before using OHIF Viewer.
@@ -72,6 +73,8 @@ MONAI Label comes with pre-built plugin for [OHIF Viewer](https://github.com/OHI
 
 ![OHIF](docs/images/ohif.png)
 
+> **_NOTE:_** OHIF does not yet support Scribbles-based annotations.
+
 ## Contributing
 
 For guidance on making a contribution to MONAI Label, see the [contributing guidelines](CONTRIBUTING.md).

docs/source/whatsnew.rst

@@ -5,12 +5,11 @@ What's New
 0.2.0
 =====
 
-- Support for DICOMWeb connectivity to PACS `➔ <quickstart#setup-development-dicom-server>`__
-- Annotations support via OHIF UI enabled in MONAI Label Server `➔ <quickstart#deepedit-annotation-in-ohif>`__
-- Support for native and custom scoring methods to support next image selection strategies `➔ <modules#image-selection-strategy>`__
+- Support for DICOMWeb connectivity to PACS `➔ <quickstart.html#setup-development-dicom-server>`__
+- Annotations support via OHIF UI enabled in MONAI Label Server `➔ <quickstart.html#deepedit-annotation-in-ohif>`__
+- Support for native and custom scoring methods to support next image selection strategies `➔ <modules.html#image-selection-strategy>`__
 
   - 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
-