Version 1.0.5

Fix dependencies.

Version 1.0.4

More annotation workflow features.

Add cellularity detection and extend documention

Merge pull request #734 from DigitalSlideArchive/mtageld-dev

Multiple additions and improvements to preprocessing, saliency workflows, and documentation

Add annotation and mask handling functionality

Add new functionality for using HistomicsTK as a python package to interact with the DSA annotations to:
1- Create mask from annotations on the DSA server.
2- Extract annotations from mask and post them to HistomicsTK server for display.
3- Handle complex polygon mergers (eg tiled segmentation results).

Also,
1- Update installation instructions
2- Improve documentation

v0.1.3

• Changes base image from ubuntu:14.04 to dsarchive/base_docker_image that includes miniconda, python wrapper ITK, and openslide on ubuntu14.04. With this change ITK will be available for use within HistomicsTK when run within the dasrchive/histomicstk docker image.
• Adds examples using jupyter notebooks
• Sets up the infrastructure to add tests using data stored on data.kitware.com
• Adds front-end code to display annotations

v0.1.2

This release fixes a few bugs in the generation of annotation files by the Nuclei Segmentation CLI.

v0.1.1

This release includes two new CLIs

• FeatureExtraction
• NucleiSegmentation

It also includes changes to the automatic rest end-point generation code to pass on additional information (reference image itemId and userId) to the girder_worker binding spec for output files that specify the reference attribute in their xml spec.