diff --git a/README.rst b/README.rst index c9df97b8..896def86 100644 --- a/README.rst +++ b/README.rst @@ -2,7 +2,13 @@ WSI Superpixel Guided Labeling ============================== -Perform active learning by classifying regions of whole slide images. +WSI Superpixel Guided Labeling is a `Girder 3 `_ plugin designed to be used in conjunction with `HistomicsUI `_ and `HistomicsTK `_ to facilitate active learning on whole slide images. + +This plugin leverages the output of certain HistomicsTK/SlicerCLI jobs to allow end users to label superpixel regions of whole slide images to be used as input for machine learning algorithms. + +An example algorithm is contained within the ``dsarchive/superpixel:latest`` docker image. This can be used to generate superpixels, features, and machine learning models for active learning on a directory of images. See the installation instructions below for how to include the image as part of your Digital Slide Archive deployment. + +Once the appropriate data is generated, a new view becomes available for labeling and retraining. Installation ------------ @@ -69,4 +75,4 @@ To verify, login as the provisioned admin user and check that the "WSI Superpixe Features -------- -* TODO +* Adds a new view which can be accessed from the Girder 3 UI for folders that are configured for this workflow