Slicelet
Last updated
Last updated
QuantitativeReporting
SliceletA Slicelet hides the complexity of Slicer's main application user interface. The user interface is limited to those components that are needed for accomplishing the main purpose of the module/extension for which this Slicelet was designed. In other words you can see it as a custom presentation of Slicer which can reduce the Slicer package size and shorten the startup time as well by disabling major components that are not needed for the module.
QuantitativeReporting
as a SliceletFor now it's recommended to clone/download QuantitativeReporting
manually from the [github repository] (https://github.com/QIICR/QuantitativeReporting.git). You can either go directly to the web interface and download it or use git and clone it by means of the cmd(Windows) or terminal(Linux/Mac).
The following command clones the repository into a subdirectory QuantitativeReporting
which will be located within the directory from where you executed this command:
Note: Make sure that you installed all dependencies needed by QuantitativeReporting
. If you are using a recent nightly build of Slicer you could install QuantitativeReporting
from the Extension Manager where all dependencies will get installed with it.
In order to make your local QuantitativeReporting
available in Slicer you will need to add the subdirectory "Py" to your Slicer application settings as described in the following subsections.
QuantitativeReporting
ModuleIn case that you installed a version of QuantitativeReporting
with the aid of the Extension Manager, you will need to remove the paths which has been automatically added to the Slicer application settings.
Look for a path that includes QuantitativeReporting
in its name
Click onto the path that you would like to get removed from the list
Push button "Remove" for removing the selected path
QuantitativeReporting
ModuleThe last step is to add your locally downloaded/cloned QuantitativeReporting
to Slicer. Just click "Add" and navigate to the root directory of your local version. Furthermore you will need to select the subdirectory "Py" since this directory holds all important source files for the module.
Open terminal
Navigate to the local directory of your downloaded/cloned QuantitativeReporting/Py
Run
TODO
TODO
Slicelet : https://www.slicer.org/wiki/Documentation/Nightly/Developers/Slicelets
git: https://git-scm.com/